---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: Mistral_Sparse_refined_web_relu_2024-03-10
  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_relu_2024-03-10

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: 2.5409

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 8.7862        | 0.0   | 25   | 8.7098          |
| 8.1838        | 0.01  | 50   | 8.1781          |
| 7.7537        | 0.01  | 75   | 7.8068          |
| 7.5371        | 0.02  | 100  | 7.6076          |
| 7.2146        | 0.02  | 125  | 7.1801          |
| 4.832         | 0.02  | 150  | 4.7717          |
| 3.7768        | 0.03  | 175  | 3.8167          |
| 3.2705        | 0.03  | 200  | 3.4268          |
| 3.0907        | 0.04  | 225  | 3.2364          |
| 2.9979        | 0.04  | 250  | 3.1210          |
| 2.8613        | 0.04  | 275  | 3.0444          |
| 2.8331        | 0.05  | 300  | 2.9912          |
| 2.7972        | 0.05  | 325  | 2.9533          |
| 2.6097        | 0.06  | 350  | 2.9186          |
| 2.7506        | 0.06  | 375  | 2.8954          |
| 2.7809        | 0.06  | 400  | 2.8744          |
| 2.7346        | 0.07  | 425  | 2.8555          |
| 2.6997        | 0.07  | 450  | 2.8420          |
| 2.5839        | 0.08  | 475  | 2.8263          |
| 2.6435        | 0.08  | 500  | 2.8170          |
| 2.7207        | 0.08  | 525  | 2.8085          |
| 2.6248        | 0.09  | 550  | 2.7985          |
| 2.7277        | 0.09  | 575  | 2.7876          |
| 2.5448        | 0.1   | 600  | 2.7807          |


### Framework versions

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