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: 6.6551
- Validation Loss: 6.6150
- Epoch: 39
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 |
| 7.2302 | 7.1315 | 10 |
| 7.1888 | 7.0968 | 11 |
| 7.1616 | 7.0651 | 12 |
| 7.1290 | 7.0307 | 13 |
| 7.1066 | 7.0053 | 14 |
| 7.0729 | 6.9707 | 15 |
| 7.0388 | 6.9448 | 16 |
| 7.0169 | 6.9307 | 17 |
| 6.9924 | 6.9024 | 18 |
| 6.9716 | 6.8793 | 19 |
| 6.9503 | 6.8574 | 20 |
| 6.9252 | 6.8467 | 21 |
| 6.9136 | 6.8283 | 22 |
| 6.8915 | 6.8110 | 23 |
| 6.8697 | 6.7949 | 24 |
| 6.8531 | 6.7795 | 25 |
| 6.8336 | 6.7697 | 26 |
| 6.8255 | 6.7512 | 27 |
| 6.8080 | 6.7408 | 28 |
| 6.7928 | 6.7286 | 29 |
| 6.7752 | 6.7145 | 30 |
| 6.7629 | 6.7035 | 31 |
| 6.7467 | 6.6857 | 32 |
| 6.7329 | 6.6796 | 33 |
| 6.7216 | 6.6668 | 34 |
| 6.7067 | 6.6644 | 35 |
| 6.6935 | 6.6473 | 36 |
| 6.6810 | 6.6427 | 37 |
| 6.6713 | 6.6261 | 38 |
| 6.6551 | 6.6150 | 39 |
Framework versions
- Transformers 4.33.2
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3