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test-model
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: 1.0322
- Validation Loss: 0.9818
- Train Rouge1: 63.3560
- Train Rouge2: 39.8622
- Train Rougel: 62.5870
- Train Rougelsum: 62.5573
- 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 | Epoch |
|---|---|---|---|---|---|---|
| 1.2033 | 1.1011 | 63.0488 | 39.8152 | 62.3015 | 62.2699 | 0 |
| 1.1660 | 1.0732 | 63.6556 | 40.2704 | 62.8821 | 62.8498 | 1 |
| 1.1394 | 1.0532 | 63.8815 | 40.5348 | 63.1276 | 63.0965 | 2 |
| 1.1149 | 1.0386 | 64.2783 | 40.8596 | 63.5115 | 63.4840 | 3 |
| 1.0969 | 1.0245 | 63.6975 | 40.1645 | 62.9323 | 62.8990 | 4 |
| 1.0831 | 1.0122 | 63.7146 | 40.3383 | 62.9457 | 62.9173 | 5 |
| 1.0678 | 1.0044 | 63.3129 | 39.9492 | 62.5462 | 62.5154 | 6 |
| 1.0551 | 0.9949 | 62.5523 | 39.2999 | 61.7963 | 61.7831 | 7 |
| 1.0417 | 0.9869 | 63.3126 | 40.0112 | 62.5606 | 62.5360 | 8 |
| 1.0322 | 0.9818 | 63.3560 | 39.8622 | 62.5870 | 62.5573 | 9 |
Framework versions
- Transformers 4.25.1
- TensorFlow 2.9.2
- Datasets 2.8.0
- Tokenizers 0.13.2
