t5-finetuned-cnn-dailymail-english
This model is a fine-tuned version of t5-small on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
- Loss: 1.8462
- Rouge1: 24.8782
- Rouge2: 11.9422
- Rougel: 20.5616
- Rougelsum: 23.445
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|---|---|
| 2.0856 | 1.0 | 35890 | 1.8462 | 24.8782 | 11.9422 | 20.5616 | 23.445 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
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Dataset used to train kabilanp942/t5-finetuned-cnn-dailymail-english
Evaluation results
- Rouge1 on cnn_dailymailself-reported24.878