---
base_model: charent/ChatLM-mini-Chinese
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: chineseChat-ft
  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. -->

# chineseChat-ft

This model is a fine-tuned version of [charent/ChatLM-mini-Chinese](https://huggingface.co/charent/ChatLM-mini-Chinese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5714

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5608        | 0.8   | 1    | 0.9636          |
| 1.5192        | 1.6   | 2    | 0.9396          |
| 1.4317        | 2.4   | 3    | 0.8800          |
| 0.6634        | 4.0   | 5    | 0.7525          |
| 1.1704        | 4.8   | 6    | 0.6948          |
| 1.0617        | 5.6   | 7    | 0.6460          |
| 1.0182        | 6.4   | 8    | 0.6089          |
| 0.4789        | 8.0   | 10   | 0.5714          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1