---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Llama-2-70b-chat-hf
model-index:
- name: output
  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. -->

# output

This model is a fine-tuned version of [meta-llama/Llama-2-70b-chat-hf](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3387

## 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: constant
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7334        | 0.29  | 1    | 1.5084          |
| 1.7705        | 0.57  | 2    | 1.4977          |
| 1.7433        | 0.86  | 3    | 1.4736          |
| 1.6862        | 1.14  | 4    | 1.4434          |
| 1.6562        | 1.43  | 5    | 1.4161          |
| 1.615         | 1.71  | 6    | 1.3948          |
| 1.6227        | 2.0   | 7    | 1.3813          |
| 1.5609        | 2.29  | 8    | 1.3706          |
| 1.619         | 2.57  | 9    | 1.3603          |
| 1.5298        | 2.86  | 10   | 1.3511          |
| 1.4428        | 3.14  | 11   | 1.3437          |
| 1.5641        | 3.43  | 12   | 1.3387          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.2.1
- Datasets 2.17.1
- Tokenizers 0.15.2