daphne604/BioMistral_fine_tuned

EHR_Mort_Justify_mistral_peft

This model is a fine-tuned version of BioMistral/BioMistral-7B on the daphne604/Mic_mortality_reason dataset. It achieves the following results on the evaluation set:

• Loss: 0.5240

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: 1e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss
1.3883	0.9964	137	1.2905
1.0024	2.0	275	0.8735
0.4672	2.9964	412	0.6598
0.3044	4.0	550	0.5674
0.2501	4.9964	687	0.5263
0.5557	5.9782	822	0.5240

Framework versions

• PEFT 0.13.2
• Transformers 4.46.3
• Pytorch 2.5.0
• Datasets 3.0.1
• Tokenizers 0.20.1