metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Jammal7/t5-small-finetuned-Big-Patents
results: []
Jammal7/t5-small-finetuned-Big-Patents
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: 2.6552
- Validation Loss: 2.3220
- Train Rouge1: 21.3700
- Train Rouge2: 10.2105
- Train Rougel: 17.5338
- Train Rougelsum: 18.8802
- Train Gen Len: 18.9929
- 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 |
|---|---|---|---|---|---|---|---|
| 2.6552 | 2.3220 | 21.3700 | 10.2105 | 17.5338 | 18.8802 | 18.9929 | 0 |
Framework versions
- Transformers 4.30.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3