metadata
base_model: qgyd2021/chinese_chitchat
tags:
- generated_from_trainer
model-index:
- name: chinese_chitchat
results: []
chinese_chitchat
This model is a fine-tuned version of 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