---
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- generated_from_trainer
model-index:
- name: Llama-2-CN
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama-2-CN

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: 2.2721

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7988        | 0.22  | 10   | 2.7835          |
| 2.6053        | 0.44  | 20   | 2.5792          |
| 2.3942        | 0.67  | 30   | 2.4875          |
| 2.3512        | 0.89  | 40   | 2.4174          |
| 2.34          | 1.11  | 50   | 2.3725          |
| 2.1289        | 1.33  | 60   | 2.3252          |
| 2.2836        | 1.56  | 70   | 2.3061          |
| 2.2444        | 1.78  | 80   | 2.2855          |
| 2.1513        | 2.0   | 90   | 2.2766          |
| 2.1535        | 2.22  | 100  | 2.2721          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2