---
license: apache-2.0
base_model: BioMistral/BioMistral-7B
tags:
- generated_from_trainer
model-index:
- name: bio_mistral_channel_targeter_new_prompt
  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. -->

# bio_mistral_channel_targeter_new_prompt

This model is a fine-tuned version of [BioMistral/BioMistral-7B](https://huggingface.co/BioMistral/BioMistral-7B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0644

## 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: 5e-07
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- total_train_batch_size: 12
- total_eval_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0524        | 1.0   | 317  | 0.0502          |
| 0.0466        | 2.0   | 634  | 0.0421          |
| 0.0158        | 3.0   | 951  | 0.0503          |
| 0.0047        | 4.0   | 1268 | 0.0644          |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2