t5-small-generation-code-documentation
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.0071
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 15000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.4402 | 0.16 | 5000 | 6.2464 |
| 6.237 | 0.32 | 10000 | 6.0546 |
| 6.1603 | 0.48 | 15000 | 6.0071 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3