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

# mistral_channel_targeter

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: 0.0708

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- total_train_batch_size: 24
- total_eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0526        | 1.0   | 159  | 0.0547          |
| 0.0421        | 2.0   | 318  | 0.0447          |
| 0.0285        | 3.0   | 477  | 0.0385          |
| 0.0165        | 4.0   | 636  | 0.0465          |
| 0.0021        | 5.0   | 795  | 0.0659          |
| 0.0008        | 6.0   | 954  | 0.0708          |


### Framework versions

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