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t5-small-finetuned-news
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9959
- Rouge1: 0.3606
- Rouge2: 0.1649
- Rougel: 0.2945
- Rougelsum: 0.2945
- Gen Len: 18.7588
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.2911 | 1.0 | 510 | 2.0560 | 0.3537 | 0.1569 | 0.2881 | 0.2883 | 18.7647 |
| 2.1554 | 2.0 | 1020 | 2.0139 | 0.3558 | 0.1611 | 0.2915 | 0.2917 | 18.7304 |
| 2.1213 | 3.0 | 1530 | 2.0008 | 0.3596 | 0.1643 | 0.2931 | 0.2929 | 18.7431 |
| 2.1109 | 4.0 | 2040 | 1.9959 | 0.3606 | 0.1649 | 0.2945 | 0.2945 | 18.7588 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
