---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: Open-Orca/Mistral-7B-OpenOrca
model-index:
- name: mistral-sigoIAspirantes
  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-sigoIAspirantes

This model is a fine-tuned version of [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1297

## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2813        | 0.35  | 25   | 0.3234          |
| 0.2254        | 0.7   | 50   | 0.2505          |
| 0.2004        | 1.06  | 75   | 0.2275          |
| 0.1896        | 1.41  | 100  | 0.2154          |
| 0.1498        | 1.76  | 125  | 0.1824          |
| 0.1481        | 2.11  | 150  | 0.1689          |
| 0.0907        | 2.46  | 175  | 0.1623          |
| 0.1363        | 2.82  | 200  | 0.1265          |
| 0.0874        | 3.17  | 225  | 0.1557          |
| 0.0816        | 3.52  | 250  | 0.1375          |
| 0.0907        | 3.87  | 275  | 0.1193          |
| 0.066         | 4.23  | 300  | 0.1427          |
| 0.0758        | 4.58  | 325  | 0.1412          |
| 0.0686        | 4.93  | 350  | 0.1305          |
| 0.0673        | 5.28  | 375  | 0.1251          |
| 0.0551        | 5.63  | 400  | 0.1283          |
| 0.0641        | 5.99  | 425  | 0.1270          |
| 0.0577        | 6.34  | 450  | 0.1310          |
| 0.0518        | 6.69  | 475  | 0.1294          |
| 0.0534        | 7.04  | 500  | 0.1297          |


### Framework versions

- PEFT 0.9.1.dev0
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2