---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: Mistral_Sparse_refined_web_resilu_2024-03-13
  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_Sparse_refined_web_resilu_2024-03-13

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: 2.5216

## 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: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 600

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 8.8267        | 0.0   | 25   | 8.7790          |
| 8.3017        | 0.01  | 50   | 8.3269          |
| 7.8921        | 0.01  | 75   | 7.9440          |
| 7.6064        | 0.02  | 100  | 7.6915          |
| 7.4736        | 0.02  | 125  | 7.5597          |
| 7.0663        | 0.02  | 150  | 6.8821          |
| 4.695         | 0.03  | 175  | 4.5616          |
| 3.6054        | 0.03  | 200  | 3.7193          |
| 3.2379        | 0.04  | 225  | 3.3697          |
| 3.0502        | 0.04  | 250  | 3.1769          |
| 2.8841        | 0.04  | 275  | 3.0628          |
| 2.8355        | 0.05  | 300  | 2.9948          |
| 2.794         | 0.05  | 325  | 2.9512          |
| 2.599         | 0.06  | 350  | 2.9101          |
| 2.7332        | 0.06  | 375  | 2.8858          |
| 2.762         | 0.06  | 400  | 2.8619          |
| 2.7191        | 0.07  | 425  | 2.8410          |
| 2.6786        | 0.07  | 450  | 2.8276          |
| 2.5627        | 0.08  | 475  | 2.8122          |
| 2.6268        | 0.08  | 500  | 2.8027          |
| 2.6987        | 0.08  | 525  | 2.7941          |
| 2.603         | 0.09  | 550  | 2.7820          |
| 2.7082        | 0.09  | 575  | 2.7705          |
| 2.5288        | 0.1   | 600  | 2.7647          |


### Framework versions

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