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t5-base-finetuned-xsum
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9436
- Rouge1: 32.3423
- Rouge2: 15.292
- Rougel: 26.3924
- Rougelsum: 26.7212
- Gen Len: 18.8802
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.351 | 1.0 | 668 | 2.1741 | 31.4448 | 14.9484 | 25.4927 | 25.8577 | 18.8234 |
| 2.0673 | 2.0 | 1336 | 1.9988 | 31.9162 | 15.0046 | 25.8033 | 26.1449 | 18.9102 |
| 1.9318 | 3.0 | 2004 | 1.9633 | 31.9938 | 14.9934 | 26.0192 | 26.4509 | 18.8563 |
| 1.8574 | 4.0 | 2672 | 1.9525 | 32.0861 | 15.3163 | 26.2149 | 26.5986 | 18.8772 |
| 1.8345 | 5.0 | 3340 | 1.9517 | 32.3137 | 15.5709 | 26.3659 | 26.7513 | 18.9012 |
| 1.7628 | 6.0 | 4008 | 1.9467 | 32.3 | 15.3245 | 26.3185 | 26.706 | 18.8982 |
| 1.7497 | 7.0 | 4676 | 1.9426 | 32.3597 | 15.3593 | 26.5023 | 26.8465 | 18.8832 |
| 1.7389 | 8.0 | 5344 | 1.9436 | 32.3423 | 15.292 | 26.3924 | 26.7212 | 18.8802 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
