---
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- trl
- sft
- generated_from_trainer
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 [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0380

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5462        | 0.72  | 100  | 1.5099          |
| 1.0012        | 1.45  | 200  | 1.1049          |
| 0.8908        | 2.17  | 300  | 0.9713          |
| 0.8156        | 2.9   | 400  | 0.9004          |
| 0.6787        | 3.62  | 500  | 0.8666          |
| 0.5238        | 4.35  | 600  | 0.8536          |
| 0.4373        | 5.07  | 700  | 0.8734          |
| 0.4224        | 5.8   | 800  | 0.8725          |
| 0.2836        | 6.52  | 900  | 0.9276          |
| 0.2222        | 7.25  | 1000 | 0.9700          |
| 0.2388        | 7.97  | 1100 | 0.9690          |
| 0.2064        | 8.7   | 1200 | 1.0128          |
| 0.1713        | 9.42  | 1300 | 1.0380          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1