---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: LLama_weights/tmp
model-index:
- name: outputs
  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. -->

# outputs

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4939

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0181        | 0.24  | 4    | 1.9684          |
| 2.0616        | 0.47  | 8    | 1.8863          |
| 1.8467        | 0.71  | 12   | 1.8116          |
| 1.707         | 0.94  | 16   | 1.7309          |
| 1.7886        | 1.18  | 20   | 1.6529          |
| 1.6539        | 1.41  | 24   | 1.5884          |
| 1.5149        | 1.65  | 28   | 1.5568          |
| 1.4526        | 1.88  | 32   | 1.5390          |
| 1.5335        | 2.12  | 36   | 1.5283          |
| 1.5668        | 2.35  | 40   | 1.5211          |
| 1.3914        | 2.59  | 44   | 1.5158          |
| 1.5769        | 2.82  | 48   | 1.5113          |
| 1.3794        | 3.06  | 52   | 1.5075          |
| 1.5274        | 3.29  | 56   | 1.5043          |
| 1.5247        | 3.53  | 60   | 1.5016          |
| 1.4291        | 3.76  | 64   | 1.4993          |
| 1.4233        | 4.0   | 68   | 1.4974          |
| 1.4353        | 4.24  | 72   | 1.4960          |
| 1.6016        | 4.47  | 76   | 1.4949          |
| 1.4416        | 4.71  | 80   | 1.4942          |
| 1.4654        | 4.94  | 84   | 1.4939          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.1