---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: Mistral_Sparse_refined_web_70p_2024-03-22
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Mistral_Sparse_refined_web_70p_2024-03-22

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2982

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 0
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- total_eval_batch_size: 3
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 251

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9435        | 0.0   | 25   | 3.1292          |
| 2.8593        | 0.01  | 50   | 2.9094          |
| 2.6292        | 0.01  | 75   | 2.7553          |
| 2.4816        | 0.01  | 100  | 2.6809          |
| 2.3645        | 0.01  | 125  | 2.6480          |
| 2.4033        | 0.02  | 150  | 2.6153          |
| 2.3721        | 0.02  | 175  | 2.5967          |
| 2.4718        | 0.02  | 200  | 2.5749          |
| 2.4336        | 0.03  | 225  | 2.5629          |
| 2.3863        | 0.03  | 250  | 2.5455          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0