t5-small-wikilarge-text-simplification-penalty-loss
This model is a fine-tuned version of bogdancazan/t5-small-wikilarge-text-simplification-penalty-loss on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4930
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5161 | 1.0 | 4652 | 0.4997 |
| 0.4764 | 2.0 | 9304 | 0.4956 |
| 0.4621 | 3.0 | 13956 | 0.4935 |
| 0.4826 | 4.0 | 18608 | 0.4930 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3