Lightscale/aap_summarization_model_3
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.5410
- Validation Loss: 2.6951
- Train Rouge1: 0.1943
- Train Rouge2: 0.0749
- Train Rougel: 0.1532
- Train Rougelsum: 0.1527
- Train Gen Len: 19.0
- Epoch: 4
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 |
---|---|---|---|---|---|---|---|
4.4213 | 3.7473 | 0.1974 | 0.0822 | 0.1557 | 0.1557 | 19.0 | 0 |
4.2189 | 3.4754 | 0.1988 | 0.0822 | 0.158 | 0.1579 | 19.0 | 1 |
3.9742 | 3.1733 | 0.1988 | 0.0822 | 0.158 | 0.1579 | 19.0 | 2 |
3.8071 | 2.9327 | 0.1916 | 0.0735 | 0.1506 | 0.1501 | 19.0 | 3 |
3.5410 | 2.6951 | 0.1943 | 0.0749 | 0.1532 | 0.1527 | 19.0 | 4 |
Framework versions
- Transformers 4.42.4
- TensorFlow 2.17.0
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Lightscale/aap_summarization_model_3
Base model
google-t5/t5-small