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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: 2.5619
- Rouge1: 26.6965
- Rouge2: 6.7169
- Rougel: 20.8284
- Rougelsum: 20.8322
- Gen Len: 18.8007
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: 128
- eval_batch_size: 128
- 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 |
---|---|---|---|---|---|---|---|---|
2.8068 | 1.0 | 1595 | 2.5619 | 26.6965 | 6.7169 | 20.8284 | 20.8322 | 18.8007 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0.post200
- Datasets 2.11.0
- Tokenizers 0.13.3