transformers-t5-base-summ-peeyush-latest
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.7355
- Validation Loss: 2.0013
- Train Rouge1: 19.6389
- Train Rouge2: 10.2174
- Train Rougel: 16.9211
- Train Rougelsum: 18.2688
- Train Gen Len: 19.0
- Epoch: 0
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 |
|---|---|---|---|---|---|---|---|
| 2.7355 | 2.0013 | 19.6389 | 10.2174 | 16.9211 | 18.2688 | 19.0 | 0 |
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 ppashine/transformers-t5-base-summ-peeyush-latest
Base model
google-t5/t5-base