couplet_t5
This model is a fine-tuned version of Langboat/mengzi-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7151
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.1707 | 1.0 | 1500 | 3.8428 |
| 3.8409 | 2.0 | 3000 | 3.7405 |
| 3.6807 | 3.0 | 4500 | 3.7151 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2