---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: BioMistral/BioMistral-7B
datasets:
- generator
metrics:
- f1
- accuracy
model-index:
- name: Medical-Finetune-BioMistral
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Medical-Finetune-BioMistral

This model is a fine-tuned version of [BioMistral/BioMistral-7B](https://huggingface.co/BioMistral/BioMistral-7B) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9639
- F1: 0.0
- Accuracy: 0.0

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 15

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1     | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:------:|:--------:|
| 0.7654        | 0.3436 | 100  | 2.8037          | 0.0    | 0.0      |
| 1.9543        | 0.6873 | 200  | 2.1952          | 0.0    | 0.0      |
| 1.9931        | 1.0309 | 300  | 2.1921          | 0.0143 | 0.0143   |
| 1.3308        | 1.3746 | 400  | 2.2393          | 0.0    | 0.0      |
| 1.4068        | 1.7182 | 500  | 2.2237          | 0.0    | 0.0      |
| 1.2879        | 2.0619 | 600  | 2.4974          | 0.0    | 0.0      |
| 0.7795        | 2.4055 | 700  | 2.3918          | 0.0    | 0.0      |
| 0.8464        | 2.7491 | 800  | 2.4622          | 0.0143 | 0.0143   |
| 0.7941        | 3.0928 | 900  | 2.6181          | 0.0    | 0.0      |
| 0.4868        | 3.4364 | 1000 | 2.6465          | 0.0    | 0.0      |
| 0.5224        | 3.7801 | 1100 | 2.6711          | 0.0    | 0.0      |
| 0.5074        | 4.1237 | 1200 | 2.8354          | 0.0    | 0.0      |
| 0.3309        | 4.4674 | 1300 | 2.8183          | 0.0    | 0.0      |
| 0.3761        | 4.8110 | 1400 | 2.8540          | 0.0    | 0.0      |
| 0.3173        | 5.1546 | 1500 | 2.9639          | 0.0    | 0.0      |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1