t5-small-finetuned-toxic
This model is a fine-tuned version of t5-small on an unkown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1295
- Rouge1: 93.7659
- Rouge2: 3.6618
- Rougel: 93.7652
- Rougelsum: 93.7757
- Gen Len: 2.5481
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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.1595 | 1.0 | 7979 | 0.1295 | 93.7659 | 3.6618 | 93.7652 | 93.7757 | 2.5481 |
Framework versions
- Transformers 4.9.1
- Pytorch 1.9.0+cu102
- Datasets 1.11.0
- Tokenizers 0.10.3