t5-small-finetuned-xsum-AB
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8942
- Rouge1: 13.835
- Rouge2: 4.4916
- Rougel: 10.5998
- Rougelsum: 12.3225
- Gen Len: 19.0
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.9182 | 1.0 | 625 | 2.8942 | 13.835 | 4.4916 | 10.5998 | 12.3225 | 19.0 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.13.0+cpu
- Datasets 2.6.1
- Tokenizers 0.13.1