---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: sparse_mistral_7b_refined_web_50p_2024-04-12
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sparse_mistral_7b_refined_web_50p_2024-04-12

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: 2.2135

## 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: 4
- seed: 0
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 350

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3391        | 0.01  | 25   | 2.4196          |
| 2.2711        | 0.02  | 50   | 2.3577          |
| 2.3054        | 0.02  | 75   | 2.3158          |
| 2.2795        | 0.03  | 100  | 2.2966          |
| 2.3175        | 0.04  | 125  | 2.2846          |
| 2.2388        | 0.05  | 150  | 2.2766          |
| 2.1679        | 0.06  | 175  | 2.2705          |
| 2.2996        | 0.06  | 200  | 2.2678          |
| 2.2788        | 0.07  | 225  | 2.2647          |
| 2.2448        | 0.08  | 250  | 2.2637          |
| 2.1813        | 0.09  | 275  | 2.2619          |
| 2.2059        | 0.1   | 300  | 2.2602          |
| 2.2689        | 0.1   | 325  | 2.2582          |
| 2.2238        | 0.11  | 350  | 2.2579          |


### Framework versions

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