metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: zaqi-ia/summarization_fine_tune_bbc_summary
results: []
zaqi-ia/summarization_fine_tune_bbc_summary
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: 0.4086
- Validation Loss: 0.3136
- Train Lr: 2e-05
- 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: float32
Training results
| Train Loss | Validation Loss | Train Lr | Epoch |
|---|---|---|---|
| 1.4243 | 0.4947 | 2e-05 | 0 |
| 0.5770 | 0.3595 | 2e-05 | 1 |
| 0.4560 | 0.3294 | 2e-05 | 2 |
| 0.4086 | 0.3136 | 2e-05 | 3 |
Framework versions
- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1