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leonardo-simao/t5-small-finetuned-samsum
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.7827
- Validation Loss: 1.6911
- Train Rouge1: 45.5008
- Train Rouge2: 21.8513
- Train Rougel: 37.7516
- Train Rougelsum: 41.9987
- Train Gen Len: 22.7335
- Epoch: 9
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|
| 2.2008 | 1.8738 | 40.8957 | 17.7161 | 33.7622 | 37.8215 | 21.6076 | 0 |
| 2.0354 | 1.8199 | 42.3240 | 18.8923 | 35.2173 | 39.3636 | 22.6430 | 1 |
| 1.9740 | 1.7798 | 43.1803 | 19.4935 | 35.5992 | 39.8421 | 22.0257 | 2 |
| 1.9317 | 1.7616 | 43.6967 | 19.8639 | 36.3157 | 40.3523 | 22.8240 | 3 |
| 1.8972 | 1.7465 | 43.7177 | 20.1991 | 36.5373 | 40.6343 | 23.4181 | 4 |
| 1.8683 | 1.7279 | 44.5495 | 20.8857 | 37.0714 | 41.2688 | 23.1027 | 5 |
| 1.8467 | 1.7176 | 44.6826 | 20.8768 | 37.1247 | 41.2629 | 23.0770 | 6 |
| 1.8239 | 1.7093 | 44.8019 | 20.9512 | 37.2078 | 41.3814 | 23.4193 | 7 |
| 1.8021 | 1.7030 | 45.4762 | 21.8055 | 37.9099 | 41.9938 | 23.1064 | 8 |
| 1.7827 | 1.6911 | 45.5008 | 21.8513 | 37.7516 | 41.9987 | 22.7335 | 9 |
Framework versions
- Transformers 4.27.4
- TensorFlow 2.11.0
- Datasets 2.11.0
- Tokenizers 0.13.3
