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evangeloc/t5-small-finetuned-xsum_3epoch_batch8
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: 2.5178
- Validation Loss: 2.3002
- Train Rouge1: 31.6237
- Train Rouge2: 10.4288
- Train Rougel: 25.3564
- Train Rougelsum: 25.3203
- Train Gen Len: 18.86
- Epoch: 2
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 |
|---|---|---|---|---|---|---|---|
| 2.7208 | 2.4024 | 30.3441 | 9.9367 | 24.4023 | 24.4171 | 18.83 | 0 |
| 2.5818 | 2.3390 | 30.5249 | 9.9161 | 24.1981 | 24.2080 | 18.825 | 1 |
| 2.5178 | 2.3002 | 31.6237 | 10.4288 | 25.3564 | 25.3203 | 18.86 | 2 |
Framework versions
- Transformers 4.19.4
- TensorFlow 2.8.2
- Datasets 2.2.2
- Tokenizers 0.12.1
