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t5-small-finetuned-xlsum
This model is a fine-tuned version of t5-small on the xlsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.6974
- Rouge1: 15.4289
- Rouge2: 3.146
- Rougel: 12.7682
- Rougelsum: 12.912
- Gen Len: 18.9889
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 |
|---|---|---|---|---|---|---|---|---|
| 2.9764 | 1.0 | 2382 | 2.6974 | 15.4289 | 3.146 | 12.7682 | 12.912 | 18.9889 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
