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T5-base_readme_summarizer
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6240
- Rouge1: 0.5123
- Rouge2: 0.3649
- Rougel: 0.4841
- Rougelsum: 0.4848
- Gen Len: 13.2124
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.9108 | 1.0 | 1570 | 1.6650 | 0.5075 | 0.3697 | 0.4759 | 0.4765 | 14.6915 |
| 1.8159 | 2.0 | 3140 | 1.6221 | 0.5123 | 0.366 | 0.4843 | 0.4847 | 13.2212 |
| 1.7642 | 3.0 | 4710 | 1.6241 | 0.512 | 0.3647 | 0.4838 | 0.4843 | 13.2061 |
| 1.7615 | 4.0 | 6280 | 1.6240 | 0.5123 | 0.3649 | 0.4841 | 0.4848 | 13.2149 |
| 1.7237 | 5.0 | 7850 | 1.6240 | 0.5123 | 0.3649 | 0.4841 | 0.4848 | 13.2124 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
