---
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- generated_from_trainer
model-index:
- name: checkpoint-41_9k-lr5em5-bs15n5_r64LA128dt01_2811
  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. -->

# checkpoint-41_9k-lr5em5-bs15n5_r64LA128dt01_2811

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8265

## 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: 5
- eval_batch_size: 8
- seed: 1
- gradient_accumulation_steps: 3
- total_train_batch_size: 15
- optimizer: Adam with betas=(0.9,0.95) and epsilon=2e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 300
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7717        | 0.16  | 450  | 0.9065          |
| 0.7716        | 0.32  | 900  | 0.8863          |
| 0.7856        | 0.48  | 1350 | 0.8679          |
| 0.7463        | 0.64  | 1800 | 0.8602          |
| 0.7298        | 0.81  | 2250 | 0.8531          |
| 0.7426        | 0.97  | 2700 | 0.8415          |
| 0.6991        | 1.13  | 3150 | 0.8425          |
| 0.6923        | 1.29  | 3600 | 0.8382          |
| 0.6917        | 1.45  | 4050 | 0.8361          |
| 0.6681        | 1.61  | 4500 | 0.8328          |
| 0.6764        | 1.77  | 4950 | 0.8297          |
| 0.6684        | 1.93  | 5400 | 0.8275          |
| 0.6395        | 2.09  | 5850 | 0.8268          |
| 0.6735        | 2.25  | 6300 | 0.8272          |
| 0.6416        | 2.42  | 6750 | 0.8275          |
| 0.651         | 2.58  | 7200 | 0.8265          |
| 0.6514        | 2.74  | 7650 | 0.8265          |
| 0.6535        | 2.9   | 8100 | 0.8265          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.4.0
- Tokenizers 0.15.0