Upload 16 files
Browse files- .gitattributes +1 -0
- bge-en-icl-paddle/added_tokens.json +1 -0
- bge-en-icl-paddle/all_results.json +7 -0
- bge-en-icl-paddle/config.json +25 -0
- bge-en-icl-paddle/lora_config.json +28 -0
- bge-en-icl-paddle/lora_model_state.pdparams +3 -0
- bge-en-icl-paddle/runs/Oct28_11-44-08_b63e119a1648/vdlrecords.1761651965.log +0 -0
- bge-en-icl-paddle/runs/Oct28_12-07-11_b63e119a1648/vdlrecords.1761653351.log +0 -0
- bge-en-icl-paddle/runs/Oct28_12-10-21_b63e119a1648/vdlrecords.1761653540.log +0 -0
- bge-en-icl-paddle/runs/Oct28_12-24-14_b63e119a1648/vdlrecords.1761654370.log +0 -0
- bge-en-icl-paddle/sentencepiece.bpe.model +3 -0
- bge-en-icl-paddle/special_tokens_map.json +1 -0
- bge-en-icl-paddle/tokenizer_config.json +1 -0
- bge-en-icl-paddle/train_bge-en-icl-paddle_dureader_dual.train.jsonl.log +745 -0
- bge-en-icl-paddle/train_results.json +7 -0
- bge-en-icl-paddle/trainer_state.json +15 -0
- bge-en-icl-paddle/training_args.bin +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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bge-en-icl-paddle/lora_model_state.pdparams filter=lfs diff=lfs merge=lfs -text
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bge-en-icl-paddle/added_tokens.json
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{"<unk>": 0, "<s>": 1, "</s>": 2, "<instruct>": 32000, "<query>": 32001, "<response>": 32002}
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bge-en-icl-paddle/all_results.json
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{
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"progress_or_epoch": 0.1482,
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"train_loss": 0.7501962792873382,
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"train_runtime": 35785.9312,
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"train_samples_per_second": 0.3577,
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"train_steps_per_second": 0.0028
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}
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bge-en-icl-paddle/config.json
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{
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"_name_or_path": "hf_models/bge-en-icl",
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"architectures": [
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"MistralModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"paddlenlp_version": "3.0.0b4.post20250825",
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"vocab_size": 32003
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}
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bge-en-icl-paddle/lora_config.json
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{
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"base_model_name_or_path": null,
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"do_qat": false,
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"dtype": "float16",
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"enable_lora_list": null,
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"head_dim": null,
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"lora_alpha": 64,
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"lora_dropout": 0.1,
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"lora_plus_scale": 1.0,
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"lora_use_mixer": false,
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"loraga": false,
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"lorapro": false,
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"merge_weights": false,
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"pissa": false,
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"r": 32,
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"rslora": false,
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"scaling": 2.0,
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"target_modules": [
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".*q_proj$",
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".*k_proj$",
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".*v_proj$"
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],
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"tensor_parallel_degree": 1,
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"trainable_bias": null,
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"trainable_modules": null,
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"use_mora": false,
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"use_quick_lora": false
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}
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bge-en-icl-paddle/lora_model_state.pdparams
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version https://git-lfs.github.com/spec/v1
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oid sha256:8cdf4f779d379473820c5c0be209a886c4ce44c97d7280eb861ceb9530a6b122
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size 113314622
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bge-en-icl-paddle/runs/Oct28_11-44-08_b63e119a1648/vdlrecords.1761651965.log
ADDED
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Binary file (11.8 kB). View file
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bge-en-icl-paddle/runs/Oct28_12-07-11_b63e119a1648/vdlrecords.1761653351.log
ADDED
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Binary file (11.8 kB). View file
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bge-en-icl-paddle/runs/Oct28_12-10-21_b63e119a1648/vdlrecords.1761653540.log
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Binary file (11.8 kB). View file
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bge-en-icl-paddle/runs/Oct28_12-24-14_b63e119a1648/vdlrecords.1761654370.log
ADDED
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Binary file (67.2 kB). View file
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bge-en-icl-paddle/sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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size 493443
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bge-en-icl-paddle/special_tokens_map.json
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{"bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": false, "special": true}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": false, "special": true}, "unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": false, "special": true}, "pad_token": "<unk>", "additional_special_tokens": [{"content": "<instruct>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": false, "special": true}, {"content": "<query>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": false, "special": true}, {"content": "<response>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": false, "special": true}]}
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bge-en-icl-paddle/tokenizer_config.json
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{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_bos_token": true, "add_eos_token": true, "sp_model_kwargs": {}, "decode_with_prefix_space": false, "add_prefix_space": true, "added_tokens_decoder": {"0": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": false, "special": true}, "1": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": false, "special": true}, "2": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": false, "special": true}, "32000": {"content": "<instruct>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": false, "special": true}, "32001": {"content": "<query>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": false, "special": true}, "32002": {"content": "<response>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": false, "special": true}}, "additional_special_tokens": ["<instruct>", "<query>", "<response>"], "clean_up_tokenization_spaces": false, "legacy": true, "model_max_length": 1000000000000000019884624838656, "pad_token": "<unk>", "spaces_between_special_tokens": false, "use_default_system_prompt": false, "name_or_path": "/mnt/141nfs/lizhuoqun/hf_models/bge-en-icl-paddle", "from_slow": true, "_from_auto": true, "special_tokens_map_file": "/mnt/141nfs/lizhuoqun/hf_models/bge-en-icl-paddle/special_tokens_map.json", "tokenizer_class": "LlamaTokenizer"}
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bge-en-icl-paddle/train_bge-en-icl-paddle_dureader_dual.train.jsonl.log
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| 1 |
+
/mnt/141nfs/zhongtianyun2023/miniconda3/envs/paddle_0905/lib/python3.10/site-packages/paddle/utils/cpp_extension/extension_utils.py:718: UserWarning: No ccache found. Please be aware that recompiling all source files may be required. You can download and install ccache from: https://github.com/ccache/ccache/blob/master/doc/INSTALL.md
|
| 2 |
+
warnings.warn(warning_message)
|
| 3 |
+
LAUNCH INFO 2025-10-28 12:24:09,237 ----------- Configuration ----------------------
|
| 4 |
+
LAUNCH INFO 2025-10-28 12:24:09,237 auto_cluster_config: 0
|
| 5 |
+
LAUNCH INFO 2025-10-28 12:24:09,237 auto_parallel_config: None
|
| 6 |
+
LAUNCH INFO 2025-10-28 12:24:09,237 auto_tuner_json: None
|
| 7 |
+
LAUNCH INFO 2025-10-28 12:24:09,237 devices: 0,1,2,3
|
| 8 |
+
LAUNCH INFO 2025-10-28 12:24:09,237 elastic_level: -1
|
| 9 |
+
LAUNCH INFO 2025-10-28 12:24:09,237 elastic_timeout: 30
|
| 10 |
+
LAUNCH INFO 2025-10-28 12:24:09,237 enable_gpu_log: True
|
| 11 |
+
LAUNCH INFO 2025-10-28 12:24:09,237 gloo_port: 6767
|
| 12 |
+
LAUNCH INFO 2025-10-28 12:24:09,237 host: None
|
| 13 |
+
LAUNCH INFO 2025-10-28 12:24:09,237 ips: None
|
| 14 |
+
LAUNCH INFO 2025-10-28 12:24:09,237 job_id: default
|
| 15 |
+
LAUNCH INFO 2025-10-28 12:24:09,237 legacy: False
|
| 16 |
+
LAUNCH INFO 2025-10-28 12:24:09,237 log_dir: log
|
| 17 |
+
LAUNCH INFO 2025-10-28 12:24:09,239 log_level: INFO
|
| 18 |
+
LAUNCH INFO 2025-10-28 12:24:09,239 log_overwrite: False
|
| 19 |
+
LAUNCH INFO 2025-10-28 12:24:09,239 master: None
|
| 20 |
+
LAUNCH INFO 2025-10-28 12:24:09,239 max_restart: 3
|
| 21 |
+
LAUNCH INFO 2025-10-28 12:24:09,239 nnodes: 1
|
| 22 |
+
LAUNCH INFO 2025-10-28 12:24:09,239 nproc_per_node: None
|
| 23 |
+
LAUNCH INFO 2025-10-28 12:24:09,239 rank: -1
|
| 24 |
+
LAUNCH INFO 2025-10-28 12:24:09,239 run_mode: collective
|
| 25 |
+
LAUNCH INFO 2025-10-28 12:24:09,239 server_num: None
|
| 26 |
+
LAUNCH INFO 2025-10-28 12:24:09,239 servers:
|
| 27 |
+
LAUNCH INFO 2025-10-28 12:24:09,239 sort_ip: False
|
| 28 |
+
LAUNCH INFO 2025-10-28 12:24:09,239 start_port: 6070
|
| 29 |
+
LAUNCH INFO 2025-10-28 12:24:09,240 trainer_num: None
|
| 30 |
+
LAUNCH INFO 2025-10-28 12:24:09,240 trainers:
|
| 31 |
+
LAUNCH INFO 2025-10-28 12:24:09,240 training_script: train.py
|
| 32 |
+
LAUNCH INFO 2025-10-28 12:24:09,241 training_script_args: ['--do_train', '--query_instruction_for_retrieval', 'query: ', '--passage_instruction_for_retrieval', '', '--model_name_or_path', '/mnt/141nfs/lizhuoqun/hf_models/bge-en-icl-paddle', '--output_dir', 'tmp_train/bge-en-icl-paddle', '--save_steps', '999999999', '--train_data', './data/dureader_dual.train.jsonl', '--fp16_opt_level', 'O2', '--fp16', '--per_device_train_batch_size', '1', '--gradient_accumulation_steps', '32', '--recompute', '--train_group_size', '4', '--learning_rate', '1e-4', '--query_max_len', '128', '--passage_max_len', '4096', '--num_train_epochs', '1', '--logging_steps', '1', '--overwrite_output_dir', '--negatives_cross_device', '--warmup_steps', '10', '--max_steps', '100', '--do_train', '--fine_tune_type', 'lora', '--sentence_pooling_method', 'last', '--sharding', 'stage3 offload', '--use_flash_attention', '--temperature', '0.01']
|
| 33 |
+
LAUNCH INFO 2025-10-28 12:24:09,241 with_gloo: 1
|
| 34 |
+
LAUNCH INFO 2025-10-28 12:24:09,241 --------------------------------------------------
|
| 35 |
+
LAUNCH INFO 2025-10-28 12:24:09,243 Job: default, mode collective, replicas 1[1:1], elastic False
|
| 36 |
+
LAUNCH INFO 2025-10-28 12:24:09,287 Run Pod: zbwwum, replicas 4, status ready
|
| 37 |
+
LAUNCH INFO 2025-10-28 12:24:09,601 Watching Pod: zbwwum, replicas 4, status running
|
| 38 |
+
/mnt/141nfs/zhongtianyun2023/miniconda3/envs/paddle_0905/lib/python3.10/site-packages/paddle/utils/cpp_extension/extension_utils.py:718: UserWarning: No ccache found. Please be aware that recompiling all source files may be required. You can download and install ccache from: https://github.com/ccache/ccache/blob/master/doc/INSTALL.md
|
| 39 |
+
warnings.warn(warning_message)
|
| 40 |
+
/mnt/141nfs/zhongtianyun2023/miniconda3/envs/paddle_0905/lib/python3.10/site-packages/_distutils_hack/__init__.py:30: UserWarning: Setuptools is replacing distutils. Support for replacing an already imported distutils is deprecated. In the future, this condition will fail. Register concerns at https://github.com/pypa/setuptools/issues/new?template=distutils-deprecation.yml
|
| 41 |
+
warnings.warn(
|
| 42 |
+
/mnt/141nfs/zhongtianyun2023/miniconda3/envs/paddle_0905/lib/python3.10/site-packages/paddlenlp/trainer/training_args.py:1205: UserWarning: `offload` is not supported NOW!
|
| 43 |
+
warnings.warn("`offload` is not supported NOW!")
|
| 44 |
+
[2025-10-28 12:24:14,635] [ INFO] distributed_strategy.py:335 - distributed strategy initialized
|
| 45 |
+
======================= Modified FLAGS detected =======================
|
| 46 |
+
FLAGS(name='FLAGS_nvidia_package_dir', current_value='/mnt/141nfs/zhongtianyun2023/miniconda3/envs/paddle_0905/lib/python3.10/site-packages/paddle/../nvidia', default_value='')
|
| 47 |
+
FLAGS(name='FLAGS_cublas_dir', current_value='/mnt/141nfs/zhongtianyun2023/miniconda3/envs/paddle_0905/lib/python3.10/site-packages/paddle/../nvidia/cublas/lib', default_value='')
|
| 48 |
+
FLAGS(name='FLAGS_cusolver_dir', current_value='/mnt/141nfs/zhongtianyun2023/miniconda3/envs/paddle_0905/lib/python3.10/site-packages/paddle/../nvidia/cusolver/lib', default_value='')
|
| 49 |
+
FLAGS(name='FLAGS_cusparse_dir', current_value='/mnt/141nfs/zhongtianyun2023/miniconda3/envs/paddle_0905/lib/python3.10/site-packages/paddle/../nvidia/cusparse/lib', default_value='')
|
| 50 |
+
FLAGS(name='FLAGS_cupti_dir', current_value='/mnt/141nfs/zhongtianyun2023/miniconda3/envs/paddle_0905/lib/python3.10/site-packages/paddle/../nvidia/cuda_cupti/lib', default_value='')
|
| 51 |
+
FLAGS(name='FLAGS_curand_dir', current_value='/mnt/141nfs/zhongtianyun2023/miniconda3/envs/paddle_0905/lib/python3.10/site-packages/paddle/../nvidia/curand/lib', default_value='')
|
| 52 |
+
FLAGS(name='FLAGS_cudnn_dir', current_value='/mnt/141nfs/zhongtianyun2023/miniconda3/envs/paddle_0905/lib/python3.10/site-packages/paddle/../nvidia/cudnn/lib', default_value='')
|
| 53 |
+
FLAGS(name='FLAGS_nccl_dir', current_value='/mnt/141nfs/zhongtianyun2023/miniconda3/envs/paddle_0905/lib/python3.10/site-packages/paddle/../nvidia/nccl/lib', default_value='')
|
| 54 |
+
FLAGS(name='FLAGS_selected_gpus', current_value='0', default_value='')
|
| 55 |
+
FLAGS(name='FLAGS_cuda_cccl_dir', current_value='/mnt/141nfs/zhongtianyun2023/miniconda3/envs/paddle_0905/lib/python3.10/site-packages/paddle/../nvidia/cuda_cccl/include/', default_value='')
|
| 56 |
+
FLAGS(name='FLAGS_enable_pir_in_executor', current_value=True, default_value=False)
|
| 57 |
+
=======================================================================
|
| 58 |
+
I1028 12:24:14.636552 129 tcp_store.cc:336] create libuv server at port: 58491
|
| 59 |
+
I1028 12:24:14.637319 129 tcp_utils.cc:132] Successfully connected to 172.17.0.5:58491
|
| 60 |
+
I1028 12:24:15.241484 129 process_group_nccl.cc:154] ProcessGroupNCCL pg_timeout_ 1800000
|
| 61 |
+
I1028 12:24:15.241554 129 process_group_nccl.cc:155] ProcessGroupNCCL nccl_comm_init_option_ 0
|
| 62 |
+
[2025-10-28 12:24:15,242] [ INFO] topology.py:526 - Total 4 pipe comm group(s) create successfully!
|
| 63 |
+
W1028 12:24:15.243945 129 gpu_resources.cc:114] Please NOTE: device: 0, GPU Compute Capability: 8.0, Driver API Version: 12.8, Runtime API Version: 12.8
|
| 64 |
+
/mnt/141nfs/zhongtianyun2023/miniconda3/envs/paddle_0905/lib/python3.10/site-packages/paddle/distributed/communication/group.py:145: UserWarning: Current global rank 0 is not in group _default_pg10
|
| 65 |
+
warnings.warn(
|
| 66 |
+
[2025-10-28 12:24:15,246] [ INFO] topology.py:526 - Total 4 data comm group(s) create successfully!
|
| 67 |
+
[2025-10-28 12:24:15,247] [ INFO] topology.py:526 - Total 4 model comm group(s) create successfully!
|
| 68 |
+
I1028 12:24:15.247094 129 process_group_nccl.cc:154] ProcessGroupNCCL pg_timeout_ 1800000
|
| 69 |
+
I1028 12:24:15.247102 129 process_group_nccl.cc:155] ProcessGroupNCCL nccl_comm_init_option_ 0
|
| 70 |
+
[2025-10-28 12:24:15,247] [ INFO] topology.py:526 - Total 1 sharding comm group(s) create successfully!
|
| 71 |
+
I1028 12:24:15.247182 129 process_group_nccl.cc:154] ProcessGroupNCCL pg_timeout_ 1800000
|
| 72 |
+
I1028 12:24:15.247188 129 process_group_nccl.cc:155] ProcessGroupNCCL nccl_comm_init_option_ 0
|
| 73 |
+
[2025-10-28 12:24:15,247] [ INFO] topology.py:440 - HybridParallelInfo: rank_id: 0, mp_degree: 1, sharding_degree: 4, pp_degree: 1, dp_degree: 1, sep_degree: 1, mp_group: [0], sharding_group: [0, 1, 2, 3], pp_group: [0], dp_group: [0], sep:group: None, check/clip group: [0, 1, 2, 3]
|
| 74 |
+
[32m[2025-10-28 12:24:15,247] [ INFO][0m - +==============================================================================+
|
| 75 |
+
| |
|
| 76 |
+
| DistributedStrategy Overview |
|
| 77 |
+
| |
|
| 78 |
+
+==============================================================================+
|
| 79 |
+
| a_sync=True <-> a_sync_configs |
|
| 80 |
+
+------------------------------------------------------------------------------+
|
| 81 |
+
| k_steps -1 |
|
| 82 |
+
| max_merge_var_num 1 |
|
| 83 |
+
| send_queue_size 16 |
|
| 84 |
+
| independent_recv_thread False |
|
| 85 |
+
| min_send_grad_num_before_recv 1 |
|
| 86 |
+
| thread_pool_size 1 |
|
| 87 |
+
| send_wait_times 1 |
|
| 88 |
+
| runtime_split_send_recv False |
|
| 89 |
+
| launch_barrier True |
|
| 90 |
+
| heter_worker_device_guard cpu |
|
| 91 |
+
| lr_decay_steps 10 |
|
| 92 |
+
| use_ps_gpu 0 |
|
| 93 |
+
| use_gpu_graph 0 |
|
| 94 |
+
+==============================================================================+
|
| 95 |
+
| Environment Flags, Communication Flags |
|
| 96 |
+
+------------------------------------------------------------------------------+
|
| 97 |
+
| mode 1 |
|
| 98 |
+
| elastic False |
|
| 99 |
+
| auto False |
|
| 100 |
+
| sync_nccl_allreduce True |
|
| 101 |
+
| nccl_comm_num 1 |
|
| 102 |
+
| use_hierarchical_allreduce False |
|
| 103 |
+
| hierarchical_allreduce_inter_nranks 1 |
|
| 104 |
+
| sync_batch_norm False |
|
| 105 |
+
| fuse_all_reduce_ops True |
|
| 106 |
+
| fuse_grad_size_in_MB 32 |
|
| 107 |
+
| fuse_grad_size_in_TFLOPS 50.0 |
|
| 108 |
+
| cudnn_exhaustive_search False |
|
| 109 |
+
| conv_workspace_size_limit 512 |
|
| 110 |
+
| cudnn_batchnorm_spatial_persistent False |
|
| 111 |
+
| fp16_allreduce False |
|
| 112 |
+
| last_comm_group_size_MB 1.0 |
|
| 113 |
+
| find_unused_parameters False |
|
| 114 |
+
| without_graph_optimization True |
|
| 115 |
+
| fuse_grad_size_in_num 8 |
|
| 116 |
+
| calc_comm_same_stream False |
|
| 117 |
+
| asp False |
|
| 118 |
+
| fuse_grad_merge False |
|
| 119 |
+
| semi_auto False |
|
| 120 |
+
| adam_d2sum False |
|
| 121 |
+
| auto_search False |
|
| 122 |
+
| heter_ccl_mode False |
|
| 123 |
+
| is_fl_ps_mode False |
|
| 124 |
+
| with_coordinator False |
|
| 125 |
+
| split_data True |
|
| 126 |
+
| downpour_table_param [] |
|
| 127 |
+
| fs_client_param |
|
| 128 |
+
+==============================================================================+
|
| 129 |
+
| Build Strategy |
|
| 130 |
+
+------------------------------------------------------------------------------+
|
| 131 |
+
| fuse_elewise_add_act_ops False |
|
| 132 |
+
| fuse_bn_act_ops False |
|
| 133 |
+
| fuse_relu_depthwise_conv False |
|
| 134 |
+
| fuse_broadcast_ops False |
|
| 135 |
+
| fuse_all_optimizer_ops False |
|
| 136 |
+
| enable_inplace False |
|
| 137 |
+
| enable_backward_optimizer_op_deps True |
|
| 138 |
+
| cache_runtime_context False |
|
| 139 |
+
| fuse_bn_add_act_ops True |
|
| 140 |
+
| enable_auto_fusion False |
|
| 141 |
+
| enable_addto False |
|
| 142 |
+
| allow_cuda_graph_capture False |
|
| 143 |
+
| reduce_strategy 0 |
|
| 144 |
+
| fuse_gemm_epilogue False |
|
| 145 |
+
| debug_graphviz_path |
|
| 146 |
+
| fused_attention False |
|
| 147 |
+
| fused_feedforward False |
|
| 148 |
+
| fuse_dot_product_attention False |
|
| 149 |
+
| fuse_resunit False |
|
| 150 |
+
+==============================================================================+
|
| 151 |
+
[0m
|
| 152 |
+
[32m[2025-10-28 12:24:15,247] [ INFO][0m - The default value for the training argument `--report_to` will change in v5 (from all installed integrations to none). In v5, you will need to use `--report_to all` to get the same behavior as now. You should start updating your code and make this info disappear :-).[0m
|
| 153 |
+
[33m[2025-10-28 12:24:15,248] [ WARNING][0m - Process rank: 0, device: gpu, distributed training: True, 16-bits training: True[0m
|
| 154 |
+
[32m[2025-10-28 12:24:15,248] [ INFO][0m - Training/evaluation parameters RetrieverTrainingArguments(
|
| 155 |
+
adam_beta1=0.9,
|
| 156 |
+
adam_beta2=0.999,
|
| 157 |
+
adam_epsilon=1e-08,
|
| 158 |
+
amp_custom_black_list=None,
|
| 159 |
+
amp_custom_white_list=None,
|
| 160 |
+
amp_master_grad=False,
|
| 161 |
+
auto_parallel_resume_form_hybrid_parallel=False,
|
| 162 |
+
bf16=False,
|
| 163 |
+
bf16_full_eval=False,
|
| 164 |
+
ckpt_quant_stage=O0,
|
| 165 |
+
context_parallel_degree=1,
|
| 166 |
+
count_trained_tokens=False,
|
| 167 |
+
data_parallel_config=,
|
| 168 |
+
dataloader_drop_last=False,
|
| 169 |
+
dataloader_num_workers=0,
|
| 170 |
+
dataloader_shuffle=True,
|
| 171 |
+
ddp_find_unused_parameters=None,
|
| 172 |
+
device=gpu,
|
| 173 |
+
disable_tqdm=False,
|
| 174 |
+
distributed_dataloader=False,
|
| 175 |
+
do_eval=False,
|
| 176 |
+
do_export=False,
|
| 177 |
+
do_predict=False,
|
| 178 |
+
do_train=True,
|
| 179 |
+
enable_auto_parallel=False,
|
| 180 |
+
enable_zero_cost_checkpoint=False,
|
| 181 |
+
eval_accumulation_steps=None,
|
| 182 |
+
eval_steps=None,
|
| 183 |
+
evaluation_strategy=IntervalStrategy.NO,
|
| 184 |
+
expert_max_capacity=4294967296,
|
| 185 |
+
expert_min_capacity=1,
|
| 186 |
+
expert_parallel_degree=1,
|
| 187 |
+
expert_tensor_parallel_degree=1,
|
| 188 |
+
fine_tune_type=lora,
|
| 189 |
+
fix_position_embedding=False,
|
| 190 |
+
flash_device_save_steps=0,
|
| 191 |
+
flatten_param_grads=False,
|
| 192 |
+
force_reshard_pp=False,
|
| 193 |
+
fp16=True,
|
| 194 |
+
fp16_full_eval=False,
|
| 195 |
+
fp16_opt_level=O2,
|
| 196 |
+
fuse_sequence_parallel_allreduce=False,
|
| 197 |
+
gradient_accumulation_steps=32,
|
| 198 |
+
greater_is_better=None,
|
| 199 |
+
hybrid_parallel_topo_order=pp_first,
|
| 200 |
+
ignore_data_skip=False,
|
| 201 |
+
ignore_load_lr_and_optim=False,
|
| 202 |
+
ignore_save_lr_and_optim=False,
|
| 203 |
+
label_names=None,
|
| 204 |
+
lazy_data_processing=True,
|
| 205 |
+
learning_rate=0.0001,
|
| 206 |
+
load_best_model_at_end=False,
|
| 207 |
+
load_sharded_model=False,
|
| 208 |
+
local_rank=0,
|
| 209 |
+
log_on_each_node=True,
|
| 210 |
+
logging_dir=tmp_train/bge-en-icl-paddle/runs/Oct28_12-24-14_b63e119a1648,
|
| 211 |
+
logging_first_step=False,
|
| 212 |
+
logging_steps=1,
|
| 213 |
+
logging_strategy=IntervalStrategy.STEPS,
|
| 214 |
+
lr_end=1e-07,
|
| 215 |
+
lr_scheduler_type=SchedulerType.LINEAR,
|
| 216 |
+
margin=0.2,
|
| 217 |
+
matryoshka_dims=[64, 128, 256, 512, 768],
|
| 218 |
+
matryoshka_loss_weights=[1, 1, 1, 1, 1],
|
| 219 |
+
max_evaluate_steps=-1,
|
| 220 |
+
max_grad_norm=1.0,
|
| 221 |
+
max_steps=100,
|
| 222 |
+
metric_for_best_model=None,
|
| 223 |
+
metrics_output_path=None,
|
| 224 |
+
min_lr=0.0,
|
| 225 |
+
minimum_eval_times=None,
|
| 226 |
+
nccl_comm_group_config=None,
|
| 227 |
+
negatives_cross_device=True,
|
| 228 |
+
no_cuda=False,
|
| 229 |
+
num_cycles=0.5,
|
| 230 |
+
num_train_epochs=1.0,
|
| 231 |
+
offload_optim=False,
|
| 232 |
+
optim=OptimizerNames.ADAMW,
|
| 233 |
+
ordered_save_group_size=0,
|
| 234 |
+
output_dir=tmp_train/bge-en-icl-paddle,
|
| 235 |
+
output_signal_dir=tmp_train/bge-en-icl-paddle,
|
| 236 |
+
overwrite_output_dir=True,
|
| 237 |
+
pad_token_id=0,
|
| 238 |
+
past_index=-1,
|
| 239 |
+
pdc_download_ckpt=False,
|
| 240 |
+
pdc_download_timeout=300,
|
| 241 |
+
per_device_eval_batch_size=8,
|
| 242 |
+
per_device_train_batch_size=1,
|
| 243 |
+
pipeline_parallel_config=,
|
| 244 |
+
pipeline_parallel_degree=1,
|
| 245 |
+
power=1.0,
|
| 246 |
+
prediction_loss_only=False,
|
| 247 |
+
recompute=True,
|
| 248 |
+
refined_recompute={},
|
| 249 |
+
release_grads=False,
|
| 250 |
+
remove_unused_columns=True,
|
| 251 |
+
report_to=['visualdl'],
|
| 252 |
+
resume_from_checkpoint=None,
|
| 253 |
+
run_name=tmp_train/bge-en-icl-paddle,
|
| 254 |
+
save_on_each_node=False,
|
| 255 |
+
save_rng_states=True,
|
| 256 |
+
save_sharded_model=False,
|
| 257 |
+
save_sharding_stage1_model_include_freeze_params=False,
|
| 258 |
+
save_steps=999999999,
|
| 259 |
+
save_strategy=IntervalStrategy.STEPS,
|
| 260 |
+
save_tokenizer=True,
|
| 261 |
+
save_total_limit=None,
|
| 262 |
+
scale_loss=32768,
|
| 263 |
+
seed=42,
|
| 264 |
+
sentence_pooling_method=last,
|
| 265 |
+
sep_parallel_degree=1,
|
| 266 |
+
sequence_parallel=False,
|
| 267 |
+
sequence_parallel_config=,
|
| 268 |
+
sharding=[<ShardingOption.FULL_SHARD: 'stage3'>, <ShardingOption.OFFLOAD: 'offload'>],
|
| 269 |
+
sharding_comm_buffer_size_MB=-1,
|
| 270 |
+
sharding_degree=-1,
|
| 271 |
+
sharding_parallel_config=,
|
| 272 |
+
sharding_parallel_degree=4,
|
| 273 |
+
sharding_parallel_mesh_dimension=dp,
|
| 274 |
+
skip_data_intervals=None,
|
| 275 |
+
skip_memory_metrics=True,
|
| 276 |
+
skip_profile_timer=True,
|
| 277 |
+
split_inputs_sequence_dim=True,
|
| 278 |
+
split_norm_comm=False,
|
| 279 |
+
temperature=0.01,
|
| 280 |
+
tensor_parallel_config=,
|
| 281 |
+
tensor_parallel_degree=1,
|
| 282 |
+
tensorwise_offload_optimizer=False,
|
| 283 |
+
to_static=False,
|
| 284 |
+
unified_checkpoint=False,
|
| 285 |
+
unified_checkpoint_config=,
|
| 286 |
+
use_async_save=False,
|
| 287 |
+
use_expert_parallel=False,
|
| 288 |
+
use_inbatch_neg=False,
|
| 289 |
+
use_lowprecision_moment=False,
|
| 290 |
+
use_matryoshka=False,
|
| 291 |
+
wandb_api_key=None,
|
| 292 |
+
wandb_http_proxy=None,
|
| 293 |
+
warmup_ratio=0.0,
|
| 294 |
+
warmup_steps=10,
|
| 295 |
+
weight_decay=0.0,
|
| 296 |
+
zcc_ema_interval=1,
|
| 297 |
+
zcc_pipeline_hooks_capacity_usage=0.6,
|
| 298 |
+
zcc_save_ema_coef=None,
|
| 299 |
+
zcc_workers_num=3,
|
| 300 |
+
)[0m
|
| 301 |
+
[32m[2025-10-28 12:24:15,248] [ INFO][0m - Model parameters ModelArguments(model_name_or_path='/mnt/141nfs/lizhuoqun/hf_models/bge-en-icl-paddle', tokenizer_name=None, normalized=True, use_flash_attention=True)[0m
|
| 302 |
+
[32m[2025-10-28 12:24:15,248] [ INFO][0m - Data parameters DataArguments(train_data='./data/dureader_dual.train.jsonl', train_group_size=4, query_max_len=128, passage_max_len=4096, max_example_num_per_dataset=100000000, query_instruction_for_retrieval='query: ', passage_instruction_for_retrieval='')[0m
|
| 303 |
+
[32m[2025-10-28 12:24:15,250] [ INFO][0m - The global seed is set to 42, local seed is set to 46 and random seed is set to 42.[0m
|
| 304 |
+
[32m[2025-10-28 12:24:15,263] [ INFO][0m - We are using <class 'paddlenlp.transformers.mistral.modeling.MistralModel'> to load '/mnt/141nfs/lizhuoqun/hf_models/bge-en-icl-paddle'.[0m
|
| 305 |
+
[32m[2025-10-28 12:24:15,263] [ INFO][0m - Loading configuration file /mnt/141nfs/lizhuoqun/hf_models/bge-en-icl-paddle/config.json[0m
|
| 306 |
+
[32m[2025-10-28 12:24:15,266] [ INFO][0m - Loading weights file /mnt/141nfs/lizhuoqun/hf_models/bge-en-icl-paddle/model_state.pdparams.index.json[0m
|
| 307 |
+
file: /mnt/141nfs/lizhuoqun/hf_models/bge-en-icl-paddle/model_state.pdparams.index.json is paddle weight.
|
| 308 |
+
|
| 309 |
+
Loading checkpoint shards: 0%| | 0/8 [00:00<?, ?it/s]
|
| 310 |
+
Loading checkpoint shards: 12%|ββ | 1/8 [00:11<01:17, 11.09s/it]
|
| 311 |
+
Loading checkpoint shards: 25%|βββ | 2/8 [00:22<01:06, 11.08s/it]
|
| 312 |
+
Loading checkpoint shards: 38%|ββββ | 3/8 [00:33<00:55, 11.07s/it]
|
| 313 |
+
Loading checkpoint shards: 50%|βββββ | 4/8 [00:43<00:43, 10.90s/it]
|
| 314 |
+
Loading checkpoint shards: 62%|βββββββ | 5/8 [00:54<00:32, 10.88s/it]
|
| 315 |
+
Loading checkpoint shards: 75%|ββββββββ | 6/8 [01:05<00:21, 10.78s/it]
|
| 316 |
+
Loading checkpoint shards: 88%|βββββββββ | 7/8 [01:15<00:10, 10.74s/it]
|
| 317 |
+
Loading checkpoint shards: 100%|ββββββββββ| 8/8 [01:19<00:00, 8.32s/it]
|
| 318 |
+
Loading checkpoint shards: 100%|ββββββββββ| 8/8 [01:19<00:00, 9.89s/it]
|
| 319 |
+
[32m[2025-10-28 12:25:34,791] [ INFO][0m - All model checkpoint weights were used when initializing MistralModel.
|
| 320 |
+
[0m
|
| 321 |
+
[32m[2025-10-28 12:25:34,791] [ INFO][0m - All the weights of MistralModel were initialized from the model checkpoint at /mnt/141nfs/lizhuoqun/hf_models/bge-en-icl-paddle.
|
| 322 |
+
If your task is similar to the task the model of the checkpoint was trained on, you can already use MistralModel for predictions without further training.[0m
|
| 323 |
+
[32m[2025-10-28 12:25:34,794] [ INFO][0m - Loading configuration file /mnt/141nfs/lizhuoqun/hf_models/bge-en-icl-paddle/config.json[0m
|
| 324 |
+
[33m[2025-10-28 12:25:34,952] [ WARNING][0m - Reset tensor_parallel_degree of lora_config to 1.[0m
|
| 325 |
+
[32m[2025-10-28 12:25:34,952] [ INFO][0m - Mark only lora and trainable_module as trainable.[0m
|
| 326 |
+
[35m[2025-10-28 12:25:34,974] [ DEBUG][0m - Frozen parameters: 2.13e+10 || Trainable parameters:5.66e+07 || Total parameters:2.14e+10|| Trainable:0.26%[0m
|
| 327 |
+
[32m[2025-10-28 12:25:35,009] [ INFO][0m - The global seed is set to 42, local seed is set to 46 and random seed is set to 42.[0m
|
| 328 |
+
[32m[2025-10-28 12:25:35,067] [ INFO][0m - max_steps is given, it will override any value given in num_train_epochs[0m
|
| 329 |
+
[32m[2025-10-28 12:25:35,067] [ INFO][0m - Using half precision[0m
|
| 330 |
+
[35m[2025-10-28 12:25:35,087] [ DEBUG][0m - ============================================================[0m
|
| 331 |
+
[35m[2025-10-28 12:25:35,087] [ DEBUG][0m - Training Configuration Arguments [0m
|
| 332 |
+
[35m[2025-10-28 12:25:35,087] [ DEBUG][0m - paddle commit id : dc312219f1498234f178a3b6a93e9f1f4ddebcb8[0m
|
| 333 |
+
[35m[2025-10-28 12:25:35,087] [ DEBUG][0m - paddlenlp commit id : 0bb61071d051adf6207199d6493b08079d58f8b2.dirty[0m
|
| 334 |
+
[35m[2025-10-28 12:25:35,089] [ DEBUG][0m - _no_sync_in_gradient_accumulation: True[0m
|
| 335 |
+
[35m[2025-10-28 12:25:35,090] [ DEBUG][0m - adam_beta1 : 0.9[0m
|
| 336 |
+
[35m[2025-10-28 12:25:35,108] [ DEBUG][0m - adam_beta2 : 0.999[0m
|
| 337 |
+
[35m[2025-10-28 12:25:35,108] [ DEBUG][0m - adam_epsilon : 1e-08[0m
|
| 338 |
+
[35m[2025-10-28 12:25:35,108] [ DEBUG][0m - amp_custom_black_list : None[0m
|
| 339 |
+
[35m[2025-10-28 12:25:35,110] [ DEBUG][0m - amp_custom_white_list : None[0m
|
| 340 |
+
[35m[2025-10-28 12:25:35,110] [ DEBUG][0m - amp_master_grad : False[0m
|
| 341 |
+
[35m[2025-10-28 12:25:35,110] [ DEBUG][0m - auto_parallel_resume_form_hybrid_parallel: False[0m
|
| 342 |
+
[35m[2025-10-28 12:25:35,111] [ DEBUG][0m - bf16 : False[0m
|
| 343 |
+
[35m[2025-10-28 12:25:35,111] [ DEBUG][0m - bf16_full_eval : False[0m
|
| 344 |
+
[35m[2025-10-28 12:25:35,111] [ DEBUG][0m - ckpt_quant_stage : O0[0m
|
| 345 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - context_parallel_degree : 1[0m
|
| 346 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - count_trained_tokens : False[0m
|
| 347 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - current_device : gpu:0[0m
|
| 348 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - data_parallel_config : [0m
|
| 349 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - data_parallel_degree : 1[0m
|
| 350 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - data_parallel_rank : 0[0m
|
| 351 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - dataloader_drop_last : False[0m
|
| 352 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - dataloader_num_workers : 0[0m
|
| 353 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - dataloader_shuffle : True[0m
|
| 354 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - dataset_rank : 0[0m
|
| 355 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - dataset_world_size : 4[0m
|
| 356 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - ddp_find_unused_parameters : None[0m
|
| 357 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - device : gpu[0m
|
| 358 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - disable_tqdm : False[0m
|
| 359 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - distributed_dataloader : False[0m
|
| 360 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - do_eval : False[0m
|
| 361 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - do_export : False[0m
|
| 362 |
+
[35m[2025-10-28 12:25:35,112] [ DEBUG][0m - do_predict : False[0m
|
| 363 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - do_train : True[0m
|
| 364 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - enable_auto_parallel : False[0m
|
| 365 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - enable_zero_cost_checkpoint : False[0m
|
| 366 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - eval_accumulation_steps : None[0m
|
| 367 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - eval_batch_size : 8[0m
|
| 368 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - eval_steps : None[0m
|
| 369 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - evaluation_strategy : IntervalStrategy.NO[0m
|
| 370 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - expert_max_capacity : 4294967296[0m
|
| 371 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - expert_min_capacity : 1[0m
|
| 372 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - expert_parallel_degree : 1[0m
|
| 373 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - expert_tensor_parallel_degree : 1[0m
|
| 374 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - fine_tune_type : lora[0m
|
| 375 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - fix_position_embedding : False[0m
|
| 376 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - flash_device_save_steps : 0[0m
|
| 377 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - flatten_param_grads : False[0m
|
| 378 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - force_reshard_pp : False[0m
|
| 379 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - fp16 : True[0m
|
| 380 |
+
[35m[2025-10-28 12:25:35,113] [ DEBUG][0m - fp16_full_eval : False[0m
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| 389 |
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[35m[2025-10-28 12:25:35,114] [ DEBUG][0m - learning_rate : 0.0001[0m
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[35m[2025-10-28 12:25:35,114] [ DEBUG][0m - log_on_each_node : True[0m
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[35m[2025-10-28 12:25:35,114] [ DEBUG][0m - logging_dir : tmp_train/bge-en-icl-paddle/runs/Oct28_12-24-14_b63e119a1648[0m
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[35m[2025-10-28 12:25:35,115] [ DEBUG][0m - margin : 0.2[0m
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[35m[2025-10-28 12:25:35,115] [ DEBUG][0m - matryoshka_dims : [64, 128, 256, 512, 768][0m
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[35m[2025-10-28 12:25:35,115] [ DEBUG][0m - matryoshka_loss_weights : [1, 1, 1, 1, 1][0m
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[35m[2025-10-28 12:25:35,115] [ DEBUG][0m - metrics_output_path : None[0m
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[35m[2025-10-28 12:25:35,115] [ DEBUG][0m - min_lr : 0.0[0m
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[35m[2025-10-28 12:25:35,115] [ DEBUG][0m - minimum_eval_times : None[0m
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[35m[2025-10-28 12:25:35,115] [ DEBUG][0m - nccl_comm_group_config : None[0m
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[35m[2025-10-28 12:25:35,115] [ DEBUG][0m - negatives_cross_device : True[0m
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[35m[2025-10-28 12:25:35,115] [ DEBUG][0m - no_cuda : False[0m
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[35m[2025-10-28 12:25:35,115] [ DEBUG][0m - num_cycles : 0.5[0m
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[35m[2025-10-28 12:25:35,115] [ DEBUG][0m - offload_optim : False[0m
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[35m[2025-10-28 12:25:35,116] [ DEBUG][0m - optim : OptimizerNames.ADAMW[0m
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[35m[2025-10-28 12:25:35,116] [ DEBUG][0m - optimizer_name_suffix : shard00[0m
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[35m[2025-10-28 12:25:35,116] [ DEBUG][0m - ordered_save_group_size : 0[0m
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[35m[2025-10-28 12:25:35,116] [ DEBUG][0m - output_dir : tmp_train/bge-en-icl-paddle[0m
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[35m[2025-10-28 12:25:35,116] [ DEBUG][0m - output_signal_dir : tmp_train/bge-en-icl-paddle[0m
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[35m[2025-10-28 12:25:35,116] [ DEBUG][0m - overwrite_output_dir : True[0m
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[35m[2025-10-28 12:25:35,116] [ DEBUG][0m - pad_token_id : 0[0m
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[35m[2025-10-28 12:25:35,116] [ DEBUG][0m - past_index : -1[0m
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[35m[2025-10-28 12:25:35,116] [ DEBUG][0m - pdc_download_ckpt : False[0m
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[35m[2025-10-28 12:25:35,116] [ DEBUG][0m - pdc_download_timeout : 300[0m
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[35m[2025-10-28 12:25:35,116] [ DEBUG][0m - per_device_eval_batch_size : 8[0m
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[35m[2025-10-28 12:25:35,116] [ DEBUG][0m - per_device_train_batch_size : 1[0m
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[35m[2025-10-28 12:25:35,116] [ DEBUG][0m - pipeline_parallel_config : [0m
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[35m[2025-10-28 12:25:35,116] [ DEBUG][0m - pipeline_parallel_degree : 1[0m
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[35m[2025-10-28 12:25:35,116] [ DEBUG][0m - pipeline_parallel_rank : 0[0m
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[35m[2025-10-28 12:25:35,116] [ DEBUG][0m - power : 1.0[0m
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[35m[2025-10-28 12:25:35,116] [ DEBUG][0m - prediction_loss_only : False[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - recompute : True[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - refined_recompute : {}[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - release_grads : False[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - remove_unused_columns : True[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - report_to : ['visualdl'][0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - resume_from_checkpoint : None[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - run_name : tmp_train/bge-en-icl-paddle[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - save_on_each_node : False[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - save_rng_states : True[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - save_sharding_stage1_model_include_freeze_params: False[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - save_steps : 999999999[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - save_strategy : IntervalStrategy.STEPS[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - save_tokenizer : True[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - save_total_limit : None[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - scale_loss : 32768[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - seed : 42[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - sentence_pooling_method : last[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - sep_parallel_degree : 1[0m
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[35m[2025-10-28 12:25:35,117] [ DEBUG][0m - sequence_parallel : False[0m
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - sequence_parallel_config : [0m
|
| 461 |
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - sharding : [<ShardingOption.FULL_SHARD: 'stage3'>, <ShardingOption.OFFLOAD: 'offload'>][0m
|
| 462 |
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - sharding_comm_buffer_size_MB : -1[0m
|
| 463 |
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - sharding_degree : -1[0m
|
| 464 |
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - sharding_parallel_config : [0m
|
| 465 |
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - sharding_parallel_degree : 4[0m
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| 466 |
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - sharding_parallel_mesh_dimension: dp[0m
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - sharding_parallel_rank : 0[0m
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - should_load_dataset : True[0m
|
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - should_load_sharding_stage1_model: False[0m
|
| 470 |
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - should_log : True[0m
|
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - should_save : True[0m
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - should_save_model_state : True[0m
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - should_save_model_with_tensor_fusion: False[0m
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - should_save_sharding_stage1_model: False[0m
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - skip_data_intervals : None[0m
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - skip_memory_metrics : True[0m
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - skip_profile_timer : True[0m
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[35m[2025-10-28 12:25:35,118] [ DEBUG][0m - split_inputs_sequence_dim : True[0m
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - split_norm_comm : False[0m
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - temperature : 0.01[0m
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - tensor_parallel_config : [0m
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - tensor_parallel_degree : 1[0m
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - tensor_parallel_rank : 0[0m
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - tensorwise_offload_optimizer : False[0m
|
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - to_static : False[0m
|
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - train_batch_size : 1[0m
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - unified_checkpoint : False[0m
|
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - unified_checkpoint_config : [0m
|
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - use_async_save : False[0m
|
| 490 |
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - use_expert_parallel : False[0m
|
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - use_hybrid_parallel : True[0m
|
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - use_inbatch_neg : False[0m
|
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - use_lowprecision_moment : False[0m
|
| 494 |
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - use_matryoshka : False[0m
|
| 495 |
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - wandb_api_key : None[0m
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| 496 |
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - wandb_http_proxy : None[0m
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - warmup_ratio : 0.0[0m
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[35m[2025-10-28 12:25:35,119] [ DEBUG][0m - warmup_steps : 10[0m
|
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[35m[2025-10-28 12:25:35,120] [ DEBUG][0m - weight_decay : 0.0[0m
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[35m[2025-10-28 12:25:35,120] [ DEBUG][0m - weight_name_suffix : [0m
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[35m[2025-10-28 12:25:35,120] [ DEBUG][0m - world_size : 4[0m
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[35m[2025-10-28 12:25:35,120] [ DEBUG][0m - zcc_ema_interval : 1[0m
|
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[35m[2025-10-28 12:25:35,120] [ DEBUG][0m - zcc_pipeline_hooks_capacity_usage: 0.6[0m
|
| 504 |
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[35m[2025-10-28 12:25:35,120] [ DEBUG][0m - zcc_save_ema_coef : None[0m
|
| 505 |
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[35m[2025-10-28 12:25:35,120] [ DEBUG][0m - zcc_workers_num : 3[0m
|
| 506 |
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[35m[2025-10-28 12:25:35,120] [ DEBUG][0m - [0m
|
| 507 |
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[32m[2025-10-28 12:25:35,120] [ INFO][0m - Starting training from resume_from_checkpoint : None[0m
|
| 508 |
+
W1028 12:25:35.277778 129 nccl_comm_context.cc:70] ncclCommInitRankConfigMemOpt is not supported.
|
| 509 |
+
[2025-10-28 12:25:36,009] [ WARNING] group_sharded.py:148 - the input of scaler is None, please ensure the logic of your scaler outside is same as GroupShardedScaler.
|
| 510 |
+
[2025-10-28 12:25:36,011] [ WARNING] group_sharded_stage3.py:195 - While using ClipGradByGlobalNorm in GroupShardedStage3, the grad clip of original optimizer will be changed.
|
| 511 |
+
W1028 12:25:36.014405 129 nccl_comm_context.cc:70] ncclCommInitRankConfigMemOpt is not supported.
|
| 512 |
+
[32m[2025-10-28 12:26:10,617] [ INFO][0m - [timelog] checkpoint loading time: 0.00s (2025-10-28 12:26:10) [0m
|
| 513 |
+
[32m[2025-10-28 12:26:10,618] [ INFO][0m - ***** Running training *****[0m
|
| 514 |
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[32m[2025-10-28 12:26:10,618] [ INFO][0m - Num examples = 86,395[0m
|
| 515 |
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[32m[2025-10-28 12:26:10,618] [ INFO][0m - Num Epochs = 1[0m
|
| 516 |
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[32m[2025-10-28 12:26:10,620] [ INFO][0m - Instantaneous batch size per device = 1[0m
|
| 517 |
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[32m[2025-10-28 12:26:10,620] [ INFO][0m - Total train batch size (w. parallel, distributed & accumulation) = 128[0m
|
| 518 |
+
[32m[2025-10-28 12:26:10,620] [ INFO][0m - Gradient Accumulation steps = 32[0m
|
| 519 |
+
[32m[2025-10-28 12:26:10,622] [ INFO][0m - Total optimization steps = 100[0m
|
| 520 |
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[32m[2025-10-28 12:26:10,622] [ INFO][0m - Total num train samples = 12,800[0m
|
| 521 |
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[35m[2025-10-28 12:26:10,625] [ DEBUG][0m - Number of trainable parameters = 18,874,368 (per device)[0m
|
| 522 |
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|
| 523 |
+
TrainProcess: 0%| | 0/100 [00:00<?, ?it/s]W1028 12:26:23.394423 129 multiply_fwd_func.cc:82] got different data type, run type promotion automatically, this may cause data type been changed.
|
| 524 |
+
W1028 12:26:35.097034 129 dygraph_functions.cc:94044] got different data type, run type promotion automatically, this may cause data type been changed.
|
| 525 |
+
Found inf or nan, current scale is: 32768.0, decrease to: 32768.0*0.5
|
| 526 |
+
[33m[2025-10-28 12:31:50,968] [ WARNING][0m - optimizer not run, scale_before: 32768.0, scale_after: 16384.0[0m
|
| 527 |
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|
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+
TrainProcess: 1%| | 1/100 [05:40<9:21:45, 340.46s/it][32m[2025-10-28 12:31:51,175] [ INFO][0m - loss: 1.60786057, learning_rate: 0.0, global_step: 1, current_memory_allocated: 13.53714394569397, current_memory_reserved: 71.03532481193542, max_memory_allocated: 58.337307929992676, max_memory_reserved: 71.03532481193542, interval_runtime: 340.4979, interval_samples_per_second: 0.3759, interval_steps_per_second: 0.0029, progress_or_epoch: 0.0015[0m
|
| 529 |
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|
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TrainProcess: 2%|β | 2/100 [11:33<9:28:32, 348.08s/it][32m[2025-10-28 12:37:44,550] [ INFO][0m - loss: 1.51283789, learning_rate: 1e-05, global_step: 2, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 353.3973, interval_samples_per_second: 0.3622, interval_steps_per_second: 0.0028, progress_or_epoch: 0.003[0m
|
| 531 |
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|
| 532 |
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TrainProcess: 3%|β | 3/100 [17:27<9:27:03, 350.76s/it][32m[2025-10-28 12:43:38,560] [ INFO][0m - loss: 1.86251259, learning_rate: 2e-05, global_step: 3, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 353.9518, interval_samples_per_second: 0.3616, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0044[0m
|
| 533 |
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|
| 534 |
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TrainProcess: 4%|β | 4/100 [23:24<9:25:04, 353.17s/it][32m[2025-10-28 12:49:35,394] [ INFO][0m - loss: 1.70347214, learning_rate: 3e-05, global_step: 4, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 356.8644, interval_samples_per_second: 0.3587, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0059[0m
|
| 535 |
+
|
| 536 |
+
TrainProcess: 5%|β | 5/100 [29:23<9:22:21, 355.17s/it][32m[2025-10-28 12:55:34,130] [ INFO][0m - loss: 1.95181084, learning_rate: 4e-05, global_step: 5, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 358.7268, interval_samples_per_second: 0.3568, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0074[0m
|
| 537 |
+
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+
TrainProcess: 6%|β | 6/100 [35:22<9:18:41, 356.61s/it][32m[2025-10-28 13:01:33,576] [ INFO][0m - loss: 1.2135601, learning_rate: 5e-05, global_step: 6, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 359.4037, interval_samples_per_second: 0.3561, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0089[0m
|
| 539 |
+
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+
TrainProcess: 7%|β | 7/100 [41:20<9:13:29, 357.09s/it][32m[2025-10-28 13:07:31,631] [ INFO][0m - loss: 1.13055754, learning_rate: 6e-05, global_step: 7, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 358.0642, interval_samples_per_second: 0.3575, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0104[0m
|
| 541 |
+
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+
TrainProcess: 8%|β | 8/100 [47:13<9:05:13, 355.58s/it][32m[2025-10-28 13:13:23,931] [ INFO][0m - loss: 1.16572213, learning_rate: 7e-05, global_step: 8, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 352.3439, interval_samples_per_second: 0.3633, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0119[0m
|
| 543 |
+
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+
TrainProcess: 9%|β | 9/100 [53:05<8:57:34, 354.45s/it][32m[2025-10-28 13:19:15,903] [ INFO][0m - loss: 1.32210732, learning_rate: 8e-05, global_step: 9, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 351.962, interval_samples_per_second: 0.3637, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0133[0m
|
| 545 |
+
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| 546 |
+
TrainProcess: 10%|β | 10/100 [58:58<8:51:00, 354.00s/it][32m[2025-10-28 13:25:08,876] [ INFO][0m - loss: 1.10681725, learning_rate: 9e-05, global_step: 10, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 353.0065, interval_samples_per_second: 0.3626, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0148[0m
|
| 547 |
+
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| 548 |
+
TrainProcess: 11%|β | 11/100 [1:04:53<8:45:54, 354.54s/it][32m[2025-10-28 13:31:04,727] [ INFO][0m - loss: 1.18577766, learning_rate: 0.0001, global_step: 11, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 355.7692, interval_samples_per_second: 0.3598, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0163[0m
|
| 549 |
+
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+
TrainProcess: 12%|ββ | 12/100 [1:10:49<8:40:14, 354.71s/it][32m[2025-10-28 13:36:59,828] [ INFO][0m - loss: 0.83763123, learning_rate: 9.889e-05, global_step: 12, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 355.0803, interval_samples_per_second: 0.3605, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0178[0m
|
| 551 |
+
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| 552 |
+
TrainProcess: 13%|ββ | 13/100 [1:16:47<8:35:58, 355.85s/it][32m[2025-10-28 13:42:58,199] [ INFO][0m - loss: 0.94126701, learning_rate: 9.778e-05, global_step: 13, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 358.4773, interval_samples_per_second: 0.3571, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0193[0m
|
| 553 |
+
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| 554 |
+
TrainProcess: 14%|ββ | 14/100 [1:22:46<8:31:26, 356.82s/it][32m[2025-10-28 13:48:57,341] [ INFO][0m - loss: 0.91316128, learning_rate: 9.667e-05, global_step: 14, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 359.0772, interval_samples_per_second: 0.3565, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0207[0m
|
| 555 |
+
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| 556 |
+
TrainProcess: 15%|ββ | 15/100 [1:28:44<8:26:00, 357.19s/it][32m[2025-10-28 13:54:55,342] [ INFO][0m - loss: 0.83015823, learning_rate: 9.556e-05, global_step: 15, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 358.0253, interval_samples_per_second: 0.3575, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0222[0m
|
| 557 |
+
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| 558 |
+
TrainProcess: 16%|ββ | 16/100 [1:34:44<8:21:06, 357.94s/it][32m[2025-10-28 14:00:55,025] [ INFO][0m - loss: 0.96580505, learning_rate: 9.444e-05, global_step: 16, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 359.6829, interval_samples_per_second: 0.3559, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0237[0m
|
| 559 |
+
|
| 560 |
+
TrainProcess: 17%|ββ | 17/100 [1:40:46<8:16:49, 359.15s/it][32m[2025-10-28 14:06:57,066] [ INFO][0m - loss: 0.83217621, learning_rate: 9.333e-05, global_step: 17, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 361.9607, interval_samples_per_second: 0.3536, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0252[0m
|
| 561 |
+
|
| 562 |
+
TrainProcess: 18%|ββ | 18/100 [1:46:47<8:11:37, 359.72s/it][32m[2025-10-28 14:12:58,081] [ INFO][0m - loss: 0.89361572, learning_rate: 9.222e-05, global_step: 18, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 361.0562, interval_samples_per_second: 0.3545, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0267[0m
|
| 563 |
+
|
| 564 |
+
TrainProcess: 19%|ββ | 19/100 [1:52:50<8:07:06, 360.83s/it][32m[2025-10-28 14:19:01,456] [ INFO][0m - loss: 0.82954788, learning_rate: 9.111e-05, global_step: 19, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 363.398, interval_samples_per_second: 0.3522, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0281[0m
|
| 565 |
+
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| 566 |
+
TrainProcess: 20%|ββ | 20/100 [1:58:51<8:01:07, 360.84s/it][32m[2025-10-28 14:25:02,318] [ INFO][0m - loss: 0.75273323, learning_rate: 9e-05, global_step: 20, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 360.8814, interval_samples_per_second: 0.3547, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0296[0m
|
| 567 |
+
|
| 568 |
+
TrainProcess: 21%|ββ | 21/100 [2:04:53<7:55:42, 361.30s/it][32m[2025-10-28 14:31:04,718] [ INFO][0m - loss: 0.90951347, learning_rate: 8.889e-05, global_step: 21, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 362.3605, interval_samples_per_second: 0.3532, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0311[0m
|
| 569 |
+
|
| 570 |
+
TrainProcess: 22%|βββ | 22/100 [2:10:58<7:50:48, 362.17s/it][32m[2025-10-28 14:37:08,844] [ INFO][0m - loss: 0.82700348, learning_rate: 8.778e-05, global_step: 22, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 364.192, interval_samples_per_second: 0.3515, interval_steps_per_second: 0.0027, progress_or_epoch: 0.0326[0m
|
| 571 |
+
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+
TrainProcess: 23%|βββ | 23/100 [2:17:00<7:45:00, 362.34s/it][32m[2025-10-28 14:43:11,663] [ INFO][0m - loss: 0.90127945, learning_rate: 8.667e-05, global_step: 23, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 362.7566, interval_samples_per_second: 0.3529, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0341[0m
|
| 573 |
+
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| 574 |
+
TrainProcess: 24%|βββ | 24/100 [2:23:03<7:38:59, 362.36s/it][32m[2025-10-28 14:49:14,035] [ INFO][0m - loss: 0.79956627, learning_rate: 8.556e-05, global_step: 24, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 362.399, interval_samples_per_second: 0.3532, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0356[0m
|
| 575 |
+
|
| 576 |
+
TrainProcess: 25%|βββ | 25/100 [2:29:04<7:32:19, 361.86s/it][32m[2025-10-28 14:55:14,741] [ INFO][0m - loss: 0.64152718, learning_rate: 8.444e-05, global_step: 25, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 360.7004, interval_samples_per_second: 0.3549, interval_steps_per_second: 0.0028, progress_or_epoch: 0.037[0m
|
| 577 |
+
|
| 578 |
+
TrainProcess: 26%|βββ | 26/100 [2:35:04<7:25:36, 361.31s/it][32m[2025-10-28 15:01:14,719] [ INFO][0m - loss: 0.81254077, learning_rate: 8.333e-05, global_step: 26, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 360.0036, interval_samples_per_second: 0.3556, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0385[0m
|
| 579 |
+
|
| 580 |
+
TrainProcess: 27%|βββ | 27/100 [2:41:06<7:20:04, 361.70s/it][32m[2025-10-28 15:07:17,396] [ INFO][0m - loss: 0.67437172, learning_rate: 8.222e-05, global_step: 27, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 362.6329, interval_samples_per_second: 0.353, interval_steps_per_second: 0.0028, progress_or_epoch: 0.04[0m
|
| 581 |
+
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+
TrainProcess: 28%|βββ | 28/100 [2:47:08<7:14:08, 361.79s/it][32m[2025-10-28 15:13:19,406] [ INFO][0m - loss: 0.66415334, learning_rate: 8.111e-05, global_step: 28, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 361.9815, interval_samples_per_second: 0.3536, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0415[0m
|
| 583 |
+
|
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+
TrainProcess: 29%|βββ | 29/100 [2:53:11<7:08:33, 362.17s/it][32m[2025-10-28 15:19:22,390] [ INFO][0m - loss: 0.73983574, learning_rate: 8e-05, global_step: 29, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 363.0624, interval_samples_per_second: 0.3526, interval_steps_per_second: 0.0028, progress_or_epoch: 0.043[0m
|
| 585 |
+
|
| 586 |
+
TrainProcess: 30%|βββ | 30/100 [2:59:13<7:02:30, 362.15s/it][32m[2025-10-28 15:25:24,790] [ INFO][0m - loss: 0.58006668, learning_rate: 7.889e-05, global_step: 30, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 362.3652, interval_samples_per_second: 0.3532, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0444[0m
|
| 587 |
+
|
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+
TrainProcess: 31%|βββ | 31/100 [3:05:15<6:56:25, 362.11s/it][32m[2025-10-28 15:31:26,597] [ INFO][0m - loss: 0.71074772, learning_rate: 7.778e-05, global_step: 31, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 361.7462, interval_samples_per_second: 0.3538, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0459[0m
|
| 589 |
+
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| 590 |
+
TrainProcess: 32%|ββββ | 32/100 [3:11:18<6:50:30, 362.21s/it][32m[2025-10-28 15:37:29,004] [ INFO][0m - loss: 0.63714218, learning_rate: 7.667e-05, global_step: 32, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 362.4523, interval_samples_per_second: 0.3531, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0474[0m
|
| 591 |
+
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+
TrainProcess: 33%|ββββ | 33/100 [3:17:15<6:42:40, 360.61s/it][32m[2025-10-28 15:43:25,879] [ INFO][0m - loss: 0.85639572, learning_rate: 7.556e-05, global_step: 33, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 356.8742, interval_samples_per_second: 0.3587, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0489[0m
|
| 593 |
+
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+
TrainProcess: 34%|ββββ | 34/100 [3:23:09<6:34:40, 358.79s/it][32m[2025-10-28 15:49:20,479] [ INFO][0m - loss: 0.64079809, learning_rate: 7.444e-05, global_step: 34, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 354.5511, interval_samples_per_second: 0.361, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0504[0m
|
| 595 |
+
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TrainProcess: 35%|ββββ | 35/100 [3:29:04<6:27:26, 357.63s/it][32m[2025-10-28 15:55:15,316] [ INFO][0m - loss: 0.72723579, learning_rate: 7.333e-05, global_step: 35, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 354.9304, interval_samples_per_second: 0.3606, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0519[0m
|
| 597 |
+
|
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TrainProcess: 36%|ββββ | 36/100 [3:34:59<6:20:35, 356.80s/it][32m[2025-10-28 16:01:10,243] [ INFO][0m - loss: 0.52463913, learning_rate: 7.222e-05, global_step: 36, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 354.8725, interval_samples_per_second: 0.3607, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0533[0m
|
| 599 |
+
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TrainProcess: 37%|ββββ | 37/100 [3:40:56<6:14:50, 357.00s/it][32m[2025-10-28 16:07:07,616] [ INFO][0m - loss: 0.75466061, learning_rate: 7.111e-05, global_step: 37, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 357.435, interval_samples_per_second: 0.3581, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0548[0m
|
| 601 |
+
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+
TrainProcess: 38%|ββββ | 38/100 [3:46:52<6:08:27, 356.57s/it][32m[2025-10-28 16:13:03,163] [ INFO][0m - loss: 0.9297905, learning_rate: 7e-05, global_step: 38, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 355.573, interval_samples_per_second: 0.36, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0563[0m
|
| 603 |
+
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| 604 |
+
TrainProcess: 39%|ββββ | 39/100 [3:52:50<6:03:01, 357.08s/it][32m[2025-10-28 16:19:01,470] [ INFO][0m - loss: 0.56610394, learning_rate: 6.889e-05, global_step: 39, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 358.2607, interval_samples_per_second: 0.3573, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0578[0m
|
| 605 |
+
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+
TrainProcess: 40%|ββββ | 40/100 [3:58:46<5:56:45, 356.75s/it][32m[2025-10-28 16:24:57,464] [ INFO][0m - loss: 0.64287567, learning_rate: 6.778e-05, global_step: 40, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 355.9992, interval_samples_per_second: 0.3596, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0593[0m
|
| 607 |
+
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+
TrainProcess: 41%|ββββ | 41/100 [4:04:42<5:50:36, 356.55s/it][32m[2025-10-28 16:30:53,609] [ INFO][0m - loss: 0.68204212, learning_rate: 6.667e-05, global_step: 41, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 356.0798, interval_samples_per_second: 0.3595, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0607[0m
|
| 609 |
+
|
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+
TrainProcess: 42%|βββββ | 42/100 [4:10:33<5:42:52, 354.70s/it][32m[2025-10-28 16:36:43,933] [ INFO][0m - loss: 0.65622902, learning_rate: 6.556e-05, global_step: 42, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 350.3714, interval_samples_per_second: 0.3653, interval_steps_per_second: 0.0029, progress_or_epoch: 0.0622[0m
|
| 611 |
+
|
| 612 |
+
TrainProcess: 43%|βββββ | 43/100 [4:16:27<5:36:46, 354.49s/it][32m[2025-10-28 16:42:37,921] [ INFO][0m - loss: 0.83555603, learning_rate: 6.444e-05, global_step: 43, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 354.019, interval_samples_per_second: 0.3616, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0637[0m
|
| 613 |
+
|
| 614 |
+
TrainProcess: 44%|βββββ | 44/100 [4:22:20<5:30:34, 354.19s/it][32m[2025-10-28 16:48:31,415] [ INFO][0m - loss: 0.58517838, learning_rate: 6.333e-05, global_step: 44, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 353.4936, interval_samples_per_second: 0.3621, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0652[0m
|
| 615 |
+
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+
TrainProcess: 45%|βββββ | 45/100 [4:28:16<5:25:08, 354.70s/it][32m[2025-10-28 16:54:27,313] [ INFO][0m - loss: 0.66253853, learning_rate: 6.222e-05, global_step: 45, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 355.8688, interval_samples_per_second: 0.3597, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0667[0m
|
| 617 |
+
|
| 618 |
+
TrainProcess: 46%|βββββ | 46/100 [4:34:16<5:20:31, 356.13s/it][32m[2025-10-28 17:00:26,761] [ INFO][0m - loss: 0.66833591, learning_rate: 6.111e-05, global_step: 46, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 359.4868, interval_samples_per_second: 0.3561, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0682[0m
|
| 619 |
+
|
| 620 |
+
TrainProcess: 47%|βββββ | 47/100 [4:40:13<5:15:03, 356.67s/it][32m[2025-10-28 17:06:24,684] [ INFO][0m - loss: 0.51014137, learning_rate: 6e-05, global_step: 47, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 357.9251, interval_samples_per_second: 0.3576, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0696[0m
|
| 621 |
+
|
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+
TrainProcess: 48%|βββββ | 48/100 [4:46:12<5:09:33, 357.18s/it][32m[2025-10-28 17:12:23,139] [ INFO][0m - loss: 0.79288578, learning_rate: 5.889e-05, global_step: 48, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 358.3793, interval_samples_per_second: 0.3572, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0711[0m
|
| 623 |
+
|
| 624 |
+
TrainProcess: 49%|βββββ | 49/100 [4:52:12<5:04:20, 358.05s/it][32m[2025-10-28 17:18:23,169] [ INFO][0m - loss: 0.72906876, learning_rate: 5.778e-05, global_step: 49, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 360.0793, interval_samples_per_second: 0.3555, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0726[0m
|
| 625 |
+
|
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+
TrainProcess: 50%|βββββ | 50/100 [4:58:09<4:58:13, 357.87s/it][32m[2025-10-28 17:24:20,596] [ INFO][0m - loss: 0.64970589, learning_rate: 5.667e-05, global_step: 50, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 357.4549, interval_samples_per_second: 0.3581, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0741[0m
|
| 627 |
+
|
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+
TrainProcess: 51%|βββββ | 51/100 [5:04:05<4:51:47, 357.31s/it][32m[2025-10-28 17:30:16,613] [ INFO][0m - loss: 0.75118637, learning_rate: 5.556e-05, global_step: 51, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 355.9829, interval_samples_per_second: 0.3596, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0756[0m
|
| 629 |
+
|
| 630 |
+
TrainProcess: 52%|ββββββ | 52/100 [5:10:03<4:45:57, 357.45s/it][32m[2025-10-28 17:36:14,368] [ INFO][0m - loss: 0.83564568, learning_rate: 5.444e-05, global_step: 52, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 357.7952, interval_samples_per_second: 0.3577, interval_steps_per_second: 0.0028, progress_or_epoch: 0.077[0m
|
| 631 |
+
|
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+
TrainProcess: 53%|ββββββ | 53/100 [5:16:02<4:40:15, 357.77s/it][32m[2025-10-28 17:42:12,913] [ INFO][0m - loss: 0.55648136, learning_rate: 5.333e-05, global_step: 53, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 358.5152, interval_samples_per_second: 0.357, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0785[0m
|
| 633 |
+
|
| 634 |
+
TrainProcess: 54%|ββββββ | 54/100 [5:22:02<4:34:51, 358.50s/it][32m[2025-10-28 17:48:13,138] [ INFO][0m - loss: 0.70081615, learning_rate: 5.222e-05, global_step: 54, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 360.2087, interval_samples_per_second: 0.3553, interval_steps_per_second: 0.0028, progress_or_epoch: 0.08[0m
|
| 635 |
+
|
| 636 |
+
TrainProcess: 55%|ββββββ | 55/100 [5:28:00<4:28:47, 358.38s/it][32m[2025-10-28 17:54:11,224] [ INFO][0m - loss: 0.52258778, learning_rate: 5.111e-05, global_step: 55, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 358.1062, interval_samples_per_second: 0.3574, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0815[0m
|
| 637 |
+
|
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+
TrainProcess: 56%|ββββββ | 56/100 [5:33:58<4:22:38, 358.14s/it][32m[2025-10-28 18:00:08,784] [ INFO][0m - loss: 0.58846283, learning_rate: 5e-05, global_step: 56, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 357.571, interval_samples_per_second: 0.358, interval_steps_per_second: 0.0028, progress_or_epoch: 0.083[0m
|
| 639 |
+
|
| 640 |
+
TrainProcess: 57%|ββββββ | 57/100 [5:39:55<4:16:24, 357.78s/it][32m[2025-10-28 18:06:05,743] [ INFO][0m - loss: 0.69686508, learning_rate: 4.889e-05, global_step: 57, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 356.9413, interval_samples_per_second: 0.3586, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0844[0m
|
| 641 |
+
|
| 642 |
+
TrainProcess: 58%|ββββββ | 58/100 [5:45:53<4:10:31, 357.90s/it][32m[2025-10-28 18:12:03,985] [ INFO][0m - loss: 0.53733444, learning_rate: 4.778e-05, global_step: 58, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 358.197, interval_samples_per_second: 0.3573, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0859[0m
|
| 643 |
+
|
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+
TrainProcess: 59%|ββββββ | 59/100 [5:51:52<4:04:53, 358.39s/it][32m[2025-10-28 18:18:03,508] [ INFO][0m - loss: 0.56767511, learning_rate: 4.667e-05, global_step: 59, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 359.513, interval_samples_per_second: 0.356, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0874[0m
|
| 645 |
+
|
| 646 |
+
TrainProcess: 60%|ββββββ | 60/100 [5:57:53<3:59:20, 359.02s/it][32m[2025-10-28 18:24:04,025] [ INFO][0m - loss: 0.57501793, learning_rate: 4.556e-05, global_step: 60, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 360.5046, interval_samples_per_second: 0.3551, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0889[0m
|
| 647 |
+
|
| 648 |
+
TrainProcess: 61%|ββββββ | 61/100 [6:03:54<3:53:43, 359.58s/it][32m[2025-10-28 18:30:05,009] [ INFO][0m - loss: 0.7000761, learning_rate: 4.444e-05, global_step: 61, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 360.878, interval_samples_per_second: 0.3547, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0904[0m
|
| 649 |
+
|
| 650 |
+
TrainProcess: 62%|βββββββ | 62/100 [6:09:53<3:47:37, 359.40s/it][32m[2025-10-28 18:36:03,828] [ INFO][0m - loss: 0.53203249, learning_rate: 4.333e-05, global_step: 62, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 358.9899, interval_samples_per_second: 0.3566, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0919[0m
|
| 651 |
+
|
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+
TrainProcess: 63%|βββββββ | 63/100 [6:15:53<3:41:46, 359.63s/it][32m[2025-10-28 18:42:03,958] [ INFO][0m - loss: 0.81850052, learning_rate: 4.222e-05, global_step: 63, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 360.1651, interval_samples_per_second: 0.3554, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0933[0m
|
| 653 |
+
|
| 654 |
+
TrainProcess: 64%|βββββββ | 64/100 [6:21:53<3:35:54, 359.85s/it][32m[2025-10-28 18:48:04,346] [ INFO][0m - loss: 0.54692841, learning_rate: 4.111e-05, global_step: 64, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 360.3459, interval_samples_per_second: 0.3552, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0948[0m
|
| 655 |
+
|
| 656 |
+
TrainProcess: 65%|βββββββ | 65/100 [6:27:53<3:29:58, 359.94s/it][32m[2025-10-28 18:54:04,525] [ INFO][0m - loss: 0.47618985, learning_rate: 4e-05, global_step: 65, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 360.1738, interval_samples_per_second: 0.3554, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0963[0m
|
| 657 |
+
|
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+
TrainProcess: 66%|βββββββ | 66/100 [6:33:56<3:24:26, 360.79s/it][32m[2025-10-28 19:00:07,280] [ INFO][0m - loss: 0.4837141, learning_rate: 3.889e-05, global_step: 66, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 362.7479, interval_samples_per_second: 0.3529, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0978[0m
|
| 659 |
+
|
| 660 |
+
TrainProcess: 67%|βββββββ | 67/100 [6:39:56<3:18:17, 360.54s/it][32m[2025-10-28 19:06:07,208] [ INFO][0m - loss: 0.74391174, learning_rate: 3.778e-05, global_step: 67, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 359.9777, interval_samples_per_second: 0.3556, interval_steps_per_second: 0.0028, progress_or_epoch: 0.0993[0m
|
| 661 |
+
|
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+
TrainProcess: 68%|βββββββ | 68/100 [6:45:56<3:12:14, 360.45s/it][32m[2025-10-28 19:12:07,445] [ INFO][0m - loss: 0.50230885, learning_rate: 3.667e-05, global_step: 68, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 360.2354, interval_samples_per_second: 0.3553, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1007[0m
|
| 663 |
+
|
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TrainProcess: 69%|βββββββ | 69/100 [6:51:55<3:06:01, 360.04s/it][32m[2025-10-28 19:18:06,553] [ INFO][0m - loss: 0.53715038, learning_rate: 3.556e-05, global_step: 69, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 359.095, interval_samples_per_second: 0.3565, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1022[0m
|
| 665 |
+
|
| 666 |
+
TrainProcess: 70%|βββββββ | 70/100 [6:57:55<3:00:01, 360.04s/it][32m[2025-10-28 19:24:06,581] [ INFO][0m - loss: 0.52559185, learning_rate: 3.444e-05, global_step: 70, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 360.032, interval_samples_per_second: 0.3555, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1037[0m
|
| 667 |
+
|
| 668 |
+
TrainProcess: 71%|βββββββ | 71/100 [7:03:55<2:53:56, 359.88s/it][32m[2025-10-28 19:30:06,092] [ INFO][0m - loss: 0.7343874, learning_rate: 3.333e-05, global_step: 71, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 359.4947, interval_samples_per_second: 0.3561, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1052[0m
|
| 669 |
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|
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TrainProcess: 72%|ββββββββ | 72/100 [7:09:53<2:47:45, 359.48s/it][32m[2025-10-28 19:36:04,632] [ INFO][0m - loss: 0.53286171, learning_rate: 3.222e-05, global_step: 72, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 358.541, interval_samples_per_second: 0.357, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1067[0m
|
| 671 |
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|
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TrainProcess: 73%|ββββββββ | 73/100 [7:15:50<2:41:25, 358.72s/it][32m[2025-10-28 19:42:01,602] [ INFO][0m - loss: 0.61263633, learning_rate: 3.111e-05, global_step: 73, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 356.9623, interval_samples_per_second: 0.3586, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1082[0m
|
| 673 |
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|
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TrainProcess: 74%|ββββββββ | 74/100 [7:21:49<2:35:26, 358.73s/it][32m[2025-10-28 19:48:00,347] [ INFO][0m - loss: 0.65122676, learning_rate: 3e-05, global_step: 74, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 358.7387, interval_samples_per_second: 0.3568, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1096[0m
|
| 675 |
+
|
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TrainProcess: 75%|ββββββββ | 75/100 [7:27:48<2:29:31, 358.85s/it][32m[2025-10-28 19:53:59,434] [ INFO][0m - loss: 0.76685905, learning_rate: 2.889e-05, global_step: 75, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 359.1282, interval_samples_per_second: 0.3564, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1111[0m
|
| 677 |
+
|
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TrainProcess: 76%|ββββββββ | 76/100 [7:33:48<2:23:36, 359.02s/it][32m[2025-10-28 19:59:58,930] [ INFO][0m - loss: 0.66427612, learning_rate: 2.778e-05, global_step: 76, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 359.4081, interval_samples_per_second: 0.3561, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1126[0m
|
| 679 |
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|
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+
TrainProcess: 77%|ββββββββ | 77/100 [7:39:48<2:17:45, 359.37s/it][32m[2025-10-28 20:05:59,101] [ INFO][0m - loss: 0.42409515, learning_rate: 2.667e-05, global_step: 77, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 360.2089, interval_samples_per_second: 0.3553, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1141[0m
|
| 681 |
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|
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TrainProcess: 78%|ββββββββ | 78/100 [7:45:45<2:11:32, 358.76s/it][32m[2025-10-28 20:11:56,382] [ INFO][0m - loss: 0.59027195, learning_rate: 2.556e-05, global_step: 78, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 357.333, interval_samples_per_second: 0.3582, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1156[0m
|
| 683 |
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|
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TrainProcess: 79%|ββββββββ | 79/100 [7:51:40<2:05:07, 357.51s/it][32m[2025-10-28 20:17:51,016] [ INFO][0m - loss: 0.59920692, learning_rate: 2.444e-05, global_step: 79, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 354.5942, interval_samples_per_second: 0.361, interval_steps_per_second: 0.0028, progress_or_epoch: 0.117[0m
|
| 685 |
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|
| 686 |
+
TrainProcess: 80%|ββββββββ | 80/100 [7:57:35<1:58:56, 356.82s/it][32m[2025-10-28 20:23:46,227] [ INFO][0m - loss: 0.56145287, learning_rate: 2.333e-05, global_step: 80, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 355.1939, interval_samples_per_second: 0.3604, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1185[0m
|
| 687 |
+
|
| 688 |
+
TrainProcess: 81%|ββββββββ | 81/100 [8:03:31<1:52:57, 356.71s/it][32m[2025-10-28 20:29:42,681] [ INFO][0m - loss: 0.52036846, learning_rate: 2.222e-05, global_step: 81, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 356.4659, interval_samples_per_second: 0.3591, interval_steps_per_second: 0.0028, progress_or_epoch: 0.12[0m
|
| 689 |
+
|
| 690 |
+
TrainProcess: 82%|βββββββββ | 82/100 [8:09:29<1:47:05, 356.97s/it][32m[2025-10-28 20:35:40,205] [ INFO][0m - loss: 0.57490253, learning_rate: 2.111e-05, global_step: 82, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 357.569, interval_samples_per_second: 0.358, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1215[0m
|
| 691 |
+
|
| 692 |
+
TrainProcess: 83%|βββββββββ | 83/100 [8:15:27<1:41:12, 357.20s/it][32m[2025-10-28 20:41:38,026] [ INFO][0m - loss: 0.81481838, learning_rate: 2e-05, global_step: 83, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 357.7354, interval_samples_per_second: 0.3578, interval_steps_per_second: 0.0028, progress_or_epoch: 0.123[0m
|
| 693 |
+
|
| 694 |
+
TrainProcess: 84%|βββββββββ | 84/100 [8:21:28<1:35:33, 358.36s/it][32m[2025-10-28 20:47:39,106] [ INFO][0m - loss: 0.71151018, learning_rate: 1.889e-05, global_step: 84, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 361.0516, interval_samples_per_second: 0.3545, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1245[0m
|
| 695 |
+
|
| 696 |
+
TrainProcess: 85%|βββββββββ | 85/100 [8:27:22<1:29:15, 357.01s/it][32m[2025-10-28 20:53:32,856] [ INFO][0m - loss: 0.42023945, learning_rate: 1.778e-05, global_step: 85, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 353.8644, interval_samples_per_second: 0.3617, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1259[0m
|
| 697 |
+
|
| 698 |
+
TrainProcess: 86%|βββββββββ | 86/100 [8:33:17<1:23:09, 356.37s/it][32m[2025-10-28 20:59:27,753] [ INFO][0m - loss: 0.67935085, learning_rate: 1.667e-05, global_step: 86, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 354.8863, interval_samples_per_second: 0.3607, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1274[0m
|
| 699 |
+
|
| 700 |
+
TrainProcess: 87%|βββββββββ | 87/100 [8:39:09<1:16:57, 355.21s/it][32m[2025-10-28 21:05:20,291] [ INFO][0m - loss: 0.80524445, learning_rate: 1.556e-05, global_step: 87, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 352.4942, interval_samples_per_second: 0.3631, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1289[0m
|
| 701 |
+
|
| 702 |
+
TrainProcess: 88%|βββββββββ | 88/100 [8:45:03<1:10:58, 354.87s/it][32m[2025-10-28 21:11:14,341] [ INFO][0m - loss: 0.66514492, learning_rate: 1.444e-05, global_step: 88, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 354.0833, interval_samples_per_second: 0.3615, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1304[0m
|
| 703 |
+
|
| 704 |
+
TrainProcess: 89%|βββββββββ | 89/100 [8:51:01<1:05:11, 355.63s/it][32m[2025-10-28 21:17:11,754] [ INFO][0m - loss: 0.72842598, learning_rate: 1.333e-05, global_step: 89, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 357.3917, interval_samples_per_second: 0.3582, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1319[0m
|
| 705 |
+
|
| 706 |
+
TrainProcess: 90%|βββββββββ | 90/100 [8:56:58<59:22, 356.29s/it] [32m[2025-10-28 21:23:09,537] [ INFO][0m - loss: 0.52937889, learning_rate: 1.222e-05, global_step: 90, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 357.8176, interval_samples_per_second: 0.3577, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1333[0m
|
| 707 |
+
|
| 708 |
+
TrainProcess: 91%|βββββββββ | 91/100 [9:02:53<53:22, 355.84s/it][32m[2025-10-28 21:29:04,343] [ INFO][0m - loss: 0.5971241, learning_rate: 1.111e-05, global_step: 91, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 354.8028, interval_samples_per_second: 0.3608, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1348[0m
|
| 709 |
+
|
| 710 |
+
TrainProcess: 92%|ββββββββββ| 92/100 [9:08:48<47:23, 355.48s/it][32m[2025-10-28 21:34:58,985] [ INFO][0m - loss: 0.53361177, learning_rate: 1e-05, global_step: 92, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 354.6461, interval_samples_per_second: 0.3609, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1363[0m
|
| 711 |
+
|
| 712 |
+
TrainProcess: 93%|ββββββββββ| 93/100 [9:14:42<41:24, 354.99s/it][32m[2025-10-28 21:40:52,803] [ INFO][0m - loss: 0.55367661, learning_rate: 8.889e-06, global_step: 93, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 353.8361, interval_samples_per_second: 0.3617, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1378[0m
|
| 713 |
+
|
| 714 |
+
TrainProcess: 94%|ββββββββββ| 94/100 [9:20:41<35:37, 356.31s/it][32m[2025-10-28 21:46:52,241] [ INFO][0m - loss: 0.72559881, learning_rate: 7.778e-06, global_step: 94, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 359.3903, interval_samples_per_second: 0.3562, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1393[0m
|
| 715 |
+
|
| 716 |
+
TrainProcess: 95%|ββββββββββ| 95/100 [9:26:41<29:46, 357.32s/it][32m[2025-10-28 21:52:51,959] [ INFO][0m - loss: 0.50272036, learning_rate: 6.667e-06, global_step: 95, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 359.6777, interval_samples_per_second: 0.3559, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1407[0m
|
| 717 |
+
|
| 718 |
+
TrainProcess: 96%|ββββββββββ| 96/100 [9:32:40<23:51, 357.78s/it][32m[2025-10-28 21:58:50,781] [ INFO][0m - loss: 0.31370783, learning_rate: 5.556e-06, global_step: 96, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 358.8487, interval_samples_per_second: 0.3567, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1422[0m
|
| 719 |
+
|
| 720 |
+
TrainProcess: 97%|ββββββββββ| 97/100 [9:38:39<17:54, 358.26s/it][32m[2025-10-28 22:04:50,138] [ INFO][0m - loss: 0.41887093, learning_rate: 4.444e-06, global_step: 97, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 359.3883, interval_samples_per_second: 0.3562, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1437[0m
|
| 721 |
+
|
| 722 |
+
TrainProcess: 98%|ββββββββββ| 98/100 [9:44:34<11:54, 357.28s/it][32m[2025-10-28 22:10:45,158] [ INFO][0m - loss: 0.5729003, learning_rate: 3.333e-06, global_step: 98, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 354.9787, interval_samples_per_second: 0.3606, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1452[0m
|
| 723 |
+
|
| 724 |
+
TrainProcess: 99%|ββββββββββ| 99/100 [9:50:28<05:56, 356.34s/it][32m[2025-10-28 22:16:39,287] [ INFO][0m - loss: 0.64190578, learning_rate: 2.222e-06, global_step: 99, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 354.1516, interval_samples_per_second: 0.3614, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1467[0m
|
| 725 |
+
|
| 726 |
+
TrainProcess: 100%|ββββββββββ| 100/100 [9:56:25<00:00, 356.63s/it][32m[2025-10-28 22:22:36,556] [ INFO][0m - loss: 0.50331497, learning_rate: 1.111e-06, global_step: 100, current_memory_allocated: 13.53714370727539, current_memory_reserved: 71.03532481193542, max_memory_allocated: 59.20164966583252, max_memory_reserved: 71.03532481193542, interval_runtime: 357.3085, interval_samples_per_second: 0.3582, interval_steps_per_second: 0.0028, progress_or_epoch: 0.1482[0m
|
| 727 |
+
[32m[2025-10-28 22:22:36,556] [ INFO][0m -
|
| 728 |
+
Training completed.
|
| 729 |
+
[0m
|
| 730 |
+
[32m[2025-10-28 22:22:36,575] [ INFO][0m - train_runtime: 35785.9312, train_samples_per_second: 0.3577, train_steps_per_second: 0.0028, train_loss: 0.7501962792873382, progress_or_epoch: 0.1482[0m
|
| 731 |
+
|
| 732 |
+
TrainProcess: 100%|ββββββββββ| 100/100 [9:56:25<00:00, 357.86s/it]
|
| 733 |
+
[32m[2025-10-28 22:22:36,578] [ INFO][0m - Saving model checkpoint to tmp_train/bge-en-icl-paddle[0m
|
| 734 |
+
[32m[2025-10-28 22:22:36,583] [ INFO][0m - tokenizer config file saved in tmp_train/bge-en-icl-paddle/tokenizer_config.json[0m
|
| 735 |
+
[32m[2025-10-28 22:22:36,613] [ INFO][0m - Special tokens file saved in tmp_train/bge-en-icl-paddle/special_tokens_map.json[0m
|
| 736 |
+
[32m[2025-10-28 22:22:36,614] [ INFO][0m - added tokens file saved in tmp_train/bge-en-icl-paddle/added_tokens.json[0m
|
| 737 |
+
[32m[2025-10-28 22:22:37,310] [ INFO][0m - Configuration saved in tmp_train/bge-en-icl-paddle/config.json[0m
|
| 738 |
+
[32m[2025-10-28 22:22:37,310] [ INFO][0m - ***** train metrics *****[0m
|
| 739 |
+
[32m[2025-10-28 22:22:37,311] [ INFO][0m - progress_or_epoch = 0.1482[0m
|
| 740 |
+
[32m[2025-10-28 22:22:37,311] [ INFO][0m - train_loss = 0.7502[0m
|
| 741 |
+
[32m[2025-10-28 22:22:37,311] [ INFO][0m - train_runtime = 9:56:25.93[0m
|
| 742 |
+
[32m[2025-10-28 22:22:37,311] [ INFO][0m - train_samples_per_second = 0.3577[0m
|
| 743 |
+
[32m[2025-10-28 22:22:37,311] [ INFO][0m - train_steps_per_second = 0.0028[0m
|
| 744 |
+
LAUNCH INFO 2025-10-28 22:22:40,810 Pod completed
|
| 745 |
+
LAUNCH INFO 2025-10-28 22:22:40,811 Exit code 0
|
bge-en-icl-paddle/train_results.json
ADDED
|
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+
{
|
| 2 |
+
"progress_or_epoch": 0.1482,
|
| 3 |
+
"train_loss": 0.7501962792873382,
|
| 4 |
+
"train_runtime": 35785.9312,
|
| 5 |
+
"train_samples_per_second": 0.3577,
|
| 6 |
+
"train_steps_per_second": 0.0028
|
| 7 |
+
}
|
bge-en-icl-paddle/trainer_state.json
ADDED
|
@@ -0,0 +1,15 @@
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| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"consumed_samples": 12800,
|
| 5 |
+
"epoch": 0.14815500717625815,
|
| 6 |
+
"global_step": 100,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [],
|
| 10 |
+
"max_steps": 100,
|
| 11 |
+
"num_train_epochs": 1,
|
| 12 |
+
"total_flos": 0,
|
| 13 |
+
"trial_name": null,
|
| 14 |
+
"trial_params": null
|
| 15 |
+
}
|
bge-en-icl-paddle/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
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+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d24ec006bd8c16bf891b27700ca54bfd552c5344585e1f7c7b69750c0db33a2b
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| 3 |
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size 3754
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