t5-small-finetuned-xsum
This model is a fine-tuned version of t5-small on the xsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.4784
- Rouge1: 28.2871
- Rouge2: 7.7216
- Rougel: 22.2416
- Rougelsum: 22.237
- Gen Len: 18.8267
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 |
|---|---|---|---|---|---|---|---|---|
| 2.7171 | 1.0 | 12753 | 2.4784 | 28.2871 | 7.7216 | 22.2416 | 22.237 | 18.8267 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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Dataset used to train jayavibhav/t5-small-finetuned-xsum
Evaluation results
- Rouge1 on xsumvalidation set self-reported28.287