---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: NousResearch/Llama-2-7b-hf
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9343

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7949        | 0.1   | 25   | 1.7390          |
| 1.7268        | 0.21  | 50   | 1.6898          |
| 1.7214        | 0.31  | 75   | 1.6547          |
| 1.6573        | 0.41  | 100  | 1.6260          |
| 1.6663        | 0.52  | 125  | 1.5999          |
| 1.6499        | 0.62  | 150  | 1.5735          |
| 1.61          | 0.72  | 175  | 1.5483          |
| 1.6491        | 0.82  | 200  | 1.5288          |
| 1.6441        | 0.93  | 225  | 1.5034          |
| 1.5055        | 1.03  | 250  | 1.4753          |
| 1.4955        | 1.13  | 275  | 1.4409          |
| 1.4345        | 1.24  | 300  | 1.4159          |
| 1.449         | 1.34  | 325  | 1.3918          |
| 1.4762        | 1.44  | 350  | 1.3701          |
| 1.4562        | 1.55  | 375  | 1.3449          |
| 1.4092        | 1.65  | 400  | 1.3205          |
| 1.4173        | 1.75  | 425  | 1.3000          |
| 1.4225        | 1.86  | 450  | 1.2798          |
| 1.4358        | 1.96  | 475  | 1.2600          |
| 1.2387        | 2.06  | 500  | 1.2198          |
| 1.232         | 2.16  | 525  | 1.1936          |
| 1.2212        | 2.27  | 550  | 1.1720          |
| 1.2066        | 2.37  | 575  | 1.1491          |
| 1.199         | 2.47  | 600  | 1.1301          |
| 1.2365        | 2.58  | 625  | 1.1124          |
| 1.2124        | 2.68  | 650  | 1.0934          |
| 1.2113        | 2.78  | 675  | 1.0766          |
| 1.1947        | 2.89  | 700  | 1.0620          |
| 1.2041        | 2.99  | 725  | 1.0441          |
| 1.0437        | 3.09  | 750  | 1.0133          |
| 1.0239        | 3.2   | 775  | 0.9972          |
| 1.0417        | 3.3   | 800  | 0.9839          |
| 0.9909        | 3.4   | 825  | 0.9712          |
| 1.0275        | 3.51  | 850  | 0.9600          |
| 1.0466        | 3.61  | 875  | 0.9516          |
| 1.0036        | 3.71  | 900  | 0.9423          |
| 1.0039        | 3.81  | 925  | 0.9363          |
| 0.9786        | 3.92  | 950  | 0.9343          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1