---
library_name: transformers
license: other
base_model: mistralai/Mistral-7B-v0.3
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: mistral-lean-sft
  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-lean-sft

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the lean_sft dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0542

## 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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.0817        | 0.1633 | 1000 | 0.0849          |
| 0.0766        | 0.3266 | 2000 | 0.0762          |
| 0.0628        | 0.4900 | 3000 | 0.0654          |
| 0.0594        | 0.6533 | 4000 | 0.0602          |
| 0.0547        | 0.8166 | 5000 | 0.0559          |
| 0.0537        | 0.9799 | 6000 | 0.0542          |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.0+cu129
- Datasets 4.0.0
- Tokenizers 0.22.1