---
base_model: hllj/Mistral-7B-Vi-Math
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: sft-mistral-7b-vi-math-v1-clean-valid
  results: []
library_name: peft
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sft-mistral-7b-vi-math-v1-clean-valid

This model is a fine-tuned version of [hllj/Mistral-7B-Vi-Math](https://huggingface.co/hllj/Mistral-7B-Vi-Math) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4370

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2954        | 1.04  | 1000 | 0.4506          |


### Framework versions

- PEFT 0.5.0
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.0