reinforce-dd
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5375 | 1.35 | 500 | 0.0017 |
| 0.0001 | 2.7 | 1000 | 0.0000 |
| 0.0 | 4.05 | 1500 | 0.0000 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.0
- Datasets 2.5.1
- Tokenizers 0.12.1