metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: hasan-mr/t5-small-finetuned-billsum
results: []
hasan-mr/t5-small-finetuned-billsum
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: 2.5664
- Validation Loss: 2.3959
- Train Rougel: tf.Tensor(0.13483551, shape=(), dtype=float32)
- Epoch: 3
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: mixed_float16
Training results
| Train Loss | Validation Loss | Train Rougel | Epoch |
|---|---|---|---|
| 3.3640 | 2.7289 | tf.Tensor(0.10619231, shape=(), dtype=float32) | 0 |
| 2.8132 | 2.5456 | tf.Tensor(0.110547036, shape=(), dtype=float32) | 1 |
| 2.6567 | 2.4510 | tf.Tensor(0.12525052, shape=(), dtype=float32) | 2 |
| 2.5664 | 2.3959 | tf.Tensor(0.13483551, shape=(), dtype=float32) | 3 |
Framework versions
- Transformers 4.34.0
- TensorFlow 2.14.0
- Datasets 2.14.5
- Tokenizers 0.14.1