---
tags:
- generated_from_trainer
model-index:
- name: mistral-7b-peptide-v2
  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-7b-peptide-v2

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3878

## 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-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 48
- total_eval_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 1100

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.8125        | 0.0909 | 100  | 1.8548          |
| 0.3637        | 0.1818 | 200  | 2.3370          |
| 0.2775        | 0.2727 | 300  | 2.4800          |
| 0.2097        | 0.3636 | 400  | 2.8027          |
| 0.1534        | 0.4545 | 500  | 2.8239          |
| 0.0907        | 0.5455 | 600  | 3.3357          |
| 0.0706        | 0.6364 | 700  | 3.1721          |
| 0.0569        | 0.7273 | 800  | 3.4330          |
| 0.0473        | 0.8182 | 900  | 3.3746          |
| 0.0455        | 0.9091 | 1000 | 3.4352          |
| 0.0424        | 1.0    | 1100 | 3.3878          |


### Framework versions

- Transformers 4.44.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1