RQA-R2 / config.json
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{
"_experts_implementation": "eager",
"_experts_implementation_internal": "eager",
"_name_or_path": "rqa_best_model",
"architectures": [
"RQAModelHF"
],
"base_model_name": "FacebookAI/xlm-roberta-large",
"encoder_config": {
"_attn_implementation_autoset": false,
"_name_or_path": "FacebookAI/xlm-roberta-large",
"add_cross_attention": false,
"architectures": [
"XLMRobertaForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"bad_words_ids": null,
"begin_suppress_tokens": null,
"bos_token_id": 0,
"chunk_size_feed_forward": 0,
"classifier_dropout": null,
"cross_attention_hidden_size": null,
"decoder_start_token_id": null,
"diversity_penalty": 0.0,
"do_sample": false,
"early_stopping": false,
"encoder_no_repeat_ngram_size": 0,
"eos_token_id": 2,
"exponential_decay_length_penalty": null,
"finetuning_task": null,
"forced_bos_token_id": null,
"forced_eos_token_id": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"is_decoder": false,
"is_encoder_decoder": false,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1
},
"layer_norm_eps": 1e-05,
"length_penalty": 1.0,
"max_length": 20,
"min_length": 0,
"model_type": "xlm-roberta",
"no_repeat_ngram_size": 0,
"num_attention_heads": 16,
"num_beam_groups": 1,
"num_beams": 1,
"num_hidden_layers": 24,
"num_return_sequences": 1,
"output_attentions": false,
"output_hidden_states": false,
"output_past": true,
"output_scores": false,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"prefix": null,
"problem_type": null,
"pruned_heads": {},
"remove_invalid_values": false,
"repetition_penalty": 1.0,
"return_dict": true,
"return_dict_in_generate": false,
"sep_token_id": null,
"suppress_tokens": null,
"task_specific_params": null,
"temperature": 1.0,
"tf_legacy_loss": false,
"tie_encoder_decoder": false,
"tie_word_embeddings": true,
"tokenizer_class": null,
"top_k": 50,
"top_p": 1.0,
"torch_dtype": null,
"torchscript": false,
"transformers_version": "4.48.3",
"type_vocab_size": 1,
"typical_p": 1.0,
"use_bfloat16": false,
"use_cache": true,
"vocab_size": 250002
},
"error_types": [
"false_causality",
"unsupported_claim",
"overgeneralization",
"missing_premise",
"contradiction",
"circular_reasoning"
],
"errors_dropout": 0.3,
"errors_projection_dim": 512,
"has_issue_dropout": 0.25,
"has_issue_projection_dim": 256,
"hidden_dropout": 0.25,
"hidden_projection_dim": 256,
"model_type": "rqa_v2_2",
"num_error_types": 6,
"schema_version": "rqa.v2.2",
"temperature_errors": [
1.491364598274231,
1.9934180974960327,
1.5607672929763794,
2.030548334121704,
1.1753987073898315,
1.7253634929656982
],
"temperature_has_issue": 1.091095209121704,
"temperature_is_hidden": 1.6926876306533813,
"threshold_error": 0.25999999999999995,
"threshold_errors": [
0.7,
0.25999999999999995,
0.27999999999999997,
0.5399999999999999,
0.6799999999999999,
0.8799999999999999
],
"threshold_has_issue": 0.11917716264724733,
"threshold_is_hidden": 0.25999999999999995,
"torch_dtype": "float32",
"transformers_version": "4.48.3",
"auto_map": {
"AutoConfig": "modeling_rqa.RQAModelConfig",
"AutoModel": "modeling_rqa.RQAModelHF"
}
}