---
library_name: peft
license: apache-2.0
base_model: unsloth/mistral-7b-v0.2
tags:
- axolotl
- generated_from_trainer
model-index:
- name: b5af5b63-2744-4a7a-a494-5577cfe61051
  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. -->

[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<br>

# b5af5b63-2744-4a7a-a494-5577cfe61051

This model is a fine-tuned version of [unsloth/mistral-7b-v0.2](https://huggingface.co/unsloth/mistral-7b-v0.2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2066

## 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: 0.000208
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0002 | 1    | 3.8023          |
| 7.0134        | 0.0077 | 50   | 3.4676          |
| 7.03          | 0.0154 | 100  | 3.3677          |
| 6.2444        | 0.0231 | 150  | 3.1878          |
| 5.9664        | 0.0307 | 200  | 3.0007          |
| 5.6566        | 0.0384 | 250  | 2.7571          |
| 5.3847        | 0.0461 | 300  | 2.5729          |
| 5.0546        | 0.0538 | 350  | 2.4003          |
| 4.9947        | 0.0615 | 400  | 2.4386          |
| 5.0258        | 0.0692 | 450  | 2.2233          |
| 5.0228        | 0.0768 | 500  | 2.2066          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1