---
library_name: peft
tags:
- generated_from_trainer
base_model: Narkantak/Mistral-2x7b-Instruct-1x2
model-index:
- name: working
  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. -->

# working

This model is a fine-tuned version of [Narkantak/Mistral-2x7b-Instruct-1x2](https://huggingface.co/Narkantak/Mistral-2x7b-Instruct-1x2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3777

## 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: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0           | 0.96  | 12   | 0.8713          |
| 0.5738        | 2.0   | 25   | 0.4515          |
| 0.3676        | 2.96  | 37   | 0.3039          |
| 0.2127        | 4.0   | 50   | 0.2680          |
| 0.1891        | 4.96  | 62   | 0.2556          |
| 0.1427        | 6.0   | 75   | 0.2721          |
| 0.132         | 6.96  | 87   | 0.2762          |
| 0.1037        | 8.0   | 100  | 0.2844          |
| 0.1006        | 8.96  | 112  | 0.2951          |
| 0.0832        | 10.0  | 125  | 0.3044          |
| 0.0829        | 10.96 | 137  | 0.3194          |
| 0.073         | 12.0  | 150  | 0.3282          |
| 0.0757        | 12.96 | 162  | 0.3415          |
| 0.0692        | 14.0  | 175  | 0.3230          |
| 0.0738        | 14.96 | 187  | 0.3427          |
| 0.0666        | 16.0  | 200  | 0.3449          |
| 0.0712        | 16.96 | 212  | 0.3450          |
| 0.0652        | 18.0  | 225  | 0.3511          |
| 0.0698        | 18.96 | 237  | 0.3570          |
| 0.0641        | 20.0  | 250  | 0.3604          |
| 0.0691        | 20.96 | 262  | 0.3662          |
| 0.0638        | 22.0  | 275  | 0.3682          |
| 0.0689        | 22.96 | 287  | 0.3644          |
| 0.0632        | 24.0  | 300  | 0.3665          |
| 0.0681        | 24.96 | 312  | 0.3709          |
| 0.0627        | 26.0  | 325  | 0.3725          |
| 0.0677        | 26.96 | 337  | 0.3752          |
| 0.0621        | 28.0  | 350  | 0.3774          |
| 0.0645        | 28.8  | 360  | 0.3777          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2