Messages Summarization project
Collection
ITMO project for drivers' automatic messages summarization and JSON structuring. • 4 items • Updated
mistral-7b-saiga-sum-v0.1_gguf
This model is a fine-tuned version of IlyaGusev/saiga_mistral_7b_merged on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 250
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
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Model tree for Salexoid/mistral-7b-saiga-sum-v0.1_gguf
Base model
IlyaGusev/saiga_mistral_7b_merged