---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: method2test-mistral-7B_v0
  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. -->

# method2test-mistral-7B_v0

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6527

## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9248        | 0.09  | 100  | 1.6111          |
| 0.8949        | 0.18  | 200  | 1.5985          |
| 0.9269        | 0.27  | 300  | 1.5983          |
| 0.8941        | 0.36  | 400  | 1.6074          |
| 0.8719        | 0.44  | 500  | 1.6126          |
| 0.8133        | 0.53  | 600  | 1.6316          |
| 0.7936        | 0.62  | 700  | 1.6385          |
| 0.7532        | 0.71  | 800  | 1.6554          |
| 0.7424        | 0.8   | 900  | 1.6479          |
| 0.7573        | 0.89  | 1000 | 1.6527          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0