---
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-v2
  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-v2

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: 0.1361

## 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: 400
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6926        | 0.35  | 25   | 1.2134          |
| 1.0257        | 0.7   | 50   | 0.8432          |
| 0.7181        | 1.06  | 75   | 0.6250          |
| 0.5143        | 1.41  | 100  | 0.4992          |
| 0.3899        | 1.76  | 125  | 0.3987          |
| 0.3433        | 2.11  | 150  | 0.3065          |
| 0.1736        | 2.46  | 175  | 0.2739          |
| 0.26          | 2.82  | 200  | 0.2005          |
| 0.1403        | 3.17  | 225  | 0.2055          |
| 0.1211        | 3.52  | 250  | 0.1642          |
| 0.1243        | 3.87  | 275  | 0.1487          |
| 0.0737        | 4.23  | 300  | 0.1565          |
| 0.0867        | 4.58  | 325  | 0.1590          |
| 0.0863        | 4.93  | 350  | 0.1355          |
| 0.0627        | 5.28  | 375  | 0.1360          |
| 0.0609        | 5.63  | 400  | 0.1361          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2