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

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

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: 2.5331

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0225        | 0.03  | 10   | 3.1022          |
| 2.8635        | 0.05  | 20   | 2.7898          |
| 2.6242        | 0.08  | 30   | 2.7440          |
| 2.6995        | 0.1   | 40   | 2.6854          |
| 2.4791        | 0.13  | 50   | 2.6426          |
| 2.5932        | 0.15  | 60   | 2.5892          |
| 2.4885        | 0.18  | 70   | 2.5631          |
| 2.494         | 0.21  | 80   | 2.5508          |
| 2.4346        | 0.23  | 90   | 2.5361          |
| 2.4207        | 0.26  | 100  | 2.5331          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2