t5-small-finetuned-xlsum-10-epoch
This model is a fine-tuned version of t5-small on the xlsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.2204
- Rouge1: 31.6534
- Rouge2: 10.0563
- Rougel: 24.8104
- Rougelsum: 24.8732
- Gen Len: 18.7913
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.6512 | 1.0 | 19158 | 2.3745 | 29.756 | 8.4006 | 22.9753 | 23.0287 | 18.8245 |
| 2.6012 | 2.0 | 38316 | 2.3183 | 30.5327 | 9.0206 | 23.7263 | 23.7805 | 18.813 |
| 2.5679 | 3.0 | 57474 | 2.2853 | 30.9771 | 9.4156 | 24.1555 | 24.2127 | 18.7905 |
| 2.5371 | 4.0 | 76632 | 2.2660 | 31.0578 | 9.5592 | 24.2983 | 24.3587 | 18.7941 |
| 2.5133 | 5.0 | 95790 | 2.2498 | 31.3756 | 9.7889 | 24.5317 | 24.5922 | 18.7971 |
| 2.4795 | 6.0 | 114948 | 2.2378 | 31.4961 | 9.8935 | 24.6648 | 24.7218 | 18.7929 |
| 2.4967 | 7.0 | 134106 | 2.2307 | 31.44 | 9.9125 | 24.6298 | 24.6824 | 18.8221 |
| 2.4678 | 8.0 | 153264 | 2.2250 | 31.5875 | 10.004 | 24.7581 | 24.8125 | 18.7809 |
| 2.46 | 9.0 | 172422 | 2.2217 | 31.6413 | 10.0311 | 24.8063 | 24.8641 | 18.7951 |
| 2.4494 | 10.0 | 191580 | 2.2204 | 31.6534 | 10.0563 | 24.8104 | 24.8732 | 18.7913 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.13.1+cpu
- Datasets 2.8.0
- Tokenizers 0.10.3