---
base_model: qgyd2021/chinese_chitchat
tags:
- generated_from_trainer
model-index:
- name: chinese_chitchat
  results: []
---

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# chinese_chitchat

This model is a fine-tuned version of [qgyd2021/chinese_chitchat](https://huggingface.co/qgyd2021/chinese_chitchat) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1314

## 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: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 40.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.5203        | 0.29  | 1000  | 2.0882          |
| 1.4243        | 0.58  | 2000  | 2.1525          |
| 1.3502        | 0.86  | 3000  | 2.1544          |
| 1.5332        | 1.15  | 4000  | 2.0826          |
| 1.5208        | 1.44  | 5000  | 2.0789          |
| 1.5521        | 1.73  | 6000  | 2.0613          |
| 1.5634        | 2.02  | 7000  | 2.1124          |
| 1.5067        | 2.3   | 8000  | 2.1014          |
| 1.5573        | 2.59  | 9000  | 2.0972          |
| 1.5949        | 2.88  | 10000 | 2.0907          |
| 1.5491        | 3.17  | 11000 | 2.1314          |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3