peft safetensors generated_from_trainer base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: hakim
  results: []
---

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# hakim

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: 1.0965

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4263        | 0.1   | 921  | 1.3717          |
| 1.2695        | 0.2   | 1842 | 1.2659          |
| 1.2029        | 0.3   | 2763 | 1.2218          |
| 1.2017        | 0.4   | 3684 | 1.1812          |
| 1.1308        | 0.5   | 4605 | 1.1586          |
| 1.1521        | 0.6   | 5526 | 1.1369          |
| 1.1189        | 0.7   | 6447 | 1.1188          |
| 1.1586        | 0.8   | 7368 | 1.1097          |
| 1.0841        | 0.9   | 8289 | 1.0965          |


### Framework versions

- PEFT 0.8.2.dev0
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1