---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2
model-index:
- name: mistral-sigoIAspirantes-Orca-oass-500-gpu
  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-Orca-oass-500-gpu

This model is a fine-tuned version of [NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2](https://huggingface.co/NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1371

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.6909        | 0.3521 | 25   | 1.2135          |
| 1.026         | 0.7042 | 50   | 0.8374          |
| 0.7146        | 1.0563 | 75   | 0.6276          |
| 0.5094        | 1.4085 | 100  | 0.4925          |
| 0.3916        | 1.7606 | 125  | 0.3939          |
| 0.3408        | 2.1127 | 150  | 0.3084          |
| 0.1724        | 2.4648 | 175  | 0.2717          |
| 0.2586        | 2.8169 | 200  | 0.2026          |
| 0.1434        | 3.1690 | 225  | 0.1940          |
| 0.1253        | 3.5211 | 250  | 0.1579          |
| 0.1197        | 3.8732 | 275  | 0.1526          |
| 0.0792        | 4.2254 | 300  | 0.1582          |
| 0.0937        | 4.5775 | 325  | 0.1579          |
| 0.0898        | 4.9296 | 350  | 0.1381          |
| 0.0717        | 5.2817 | 375  | 0.1386          |
| 0.0665        | 5.6338 | 400  | 0.1350          |
| 0.0773        | 5.9859 | 425  | 0.1325          |
| 0.0602        | 6.3380 | 450  | 0.1394          |
| 0.055         | 6.6901 | 475  | 0.1377          |
| 0.0602        | 7.0423 | 500  | 0.1371          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1