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---
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 |