---
base_model: ../Baichuan2-7B-Chat
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: hc3zh
  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. -->

# hc3zh

This model is a fine-tuned version of [../Baichuan2-7B-Chat](https://huggingface.co/../Baichuan2-7B-Chat) on the hc3zh dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0150

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0199        | 0.42  | 500  | 0.0105          |
| 0.0011        | 0.85  | 1000 | 0.0118          |
| 0.0001        | 1.27  | 1500 | 0.0110          |
| 0.0143        | 1.7   | 2000 | 0.0135          |
| 0.0001        | 2.12  | 2500 | 0.0129          |
| 0.0001        | 2.55  | 3000 | 0.0145          |
| 0.002         | 2.97  | 3500 | 0.0150          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.13.2