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: 2.2696
- Validation Loss: 2.1579
- Train Rouge1: 22.6969
- Train Rouge2: 12.0848
- Train Rougel: 19.5012
- Train Rougelsum: 20.5564
- Train Gen Len: 19.0
- Epoch: 5
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 |
| 2.4395 | 2.2535 | 22.2253 | 11.2822 | 18.7238 | 19.9181 | 19.0 | 1 |
| 2.3755 | 2.2174 | 22.2327 | 11.5575 | 18.8348 | 19.9379 | 19.0 | 2 |
| 2.3329 | 2.1886 | 22.5328 | 11.8225 | 19.2582 | 20.3227 | 19.0 | 3 |
| 2.3004 | 2.1681 | 22.7872 | 12.1642 | 19.5194 | 20.5907 | 19.0 | 4 |
| 2.2696 | 2.1579 | 22.6969 | 12.0848 | 19.5012 | 20.5564 | 19.0 | 5 |
Framework versions
- Transformers 4.30.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3