metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: bedus-creation/t5-small-dataset-ii-eng-lim
results: []
bedus-creation/t5-small-dataset-ii-eng-lim
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: 7.2651
- Validation Loss: 7.1736
- Epoch: 9
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 | Epoch |
|---|---|---|
| 8.3860 | 7.8693 | 0 |
| 7.8568 | 7.6558 | 1 |
| 7.6900 | 7.5352 | 2 |
| 7.5904 | 7.4631 | 3 |
| 7.5155 | 7.4041 | 4 |
| 7.4554 | 7.3553 | 5 |
| 7.4005 | 7.3036 | 6 |
| 7.3547 | 7.2561 | 7 |
| 7.3104 | 7.2076 | 8 |
| 7.2651 | 7.1736 | 9 |
Framework versions
- Transformers 4.33.2
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3