---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: flash_attention_fine-tuned_mistral
  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. -->

# flash_attention_fine-tuned_mistral

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: 1.1909

## 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: 1
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- training_steps: 100

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0020 | 10   | 1.2457          |
| No log        | 0.0041 | 20   | 1.2098          |
| 1.3368        | 0.0061 | 30   | 1.2134          |
| 1.3368        | 0.0081 | 40   | 1.2185          |
| 1.2308        | 0.0102 | 50   | 1.2187          |
| 1.2308        | 0.0122 | 60   | 1.2190          |
| 1.2308        | 0.0142 | 70   | 1.2074          |
| 1.2921        | 0.0163 | 80   | 1.2018          |
| 1.2921        | 0.0183 | 90   | 1.1937          |
| 1.2655        | 0.0203 | 100  | 1.1909          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.2.0
- Datasets 2.19.1
- Tokenizers 0.19.1