metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: Nohossat/dyu-fr-t5-small
results: []
Nohossat/dyu-fr-t5-small
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: 2.9230
- Validation Loss: 2.8042
- Train Bleu: 1.0521
- Train Gen Len: 17.0863
- 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 | Train Bleu | Train Gen Len | Epoch |
---|---|---|---|---|
3.1751 | 2.9401 | 0.6519 | 17.6594 | 0 |
3.1396 | 2.9217 | 0.8306 | 17.3746 | 1 |
3.1072 | 2.9041 | 0.9521 | 17.155 | 2 |
3.0776 | 2.8816 | 0.8955 | 17.2039 | 3 |
3.0432 | 2.8647 | 0.869 | 16.9266 | 4 |
3.0192 | 2.8487 | 0.9519 | 17.3997 | 5 |
2.9930 | 2.8391 | 0.9774 | 16.9646 | 6 |
2.9699 | 2.8237 | 0.8577 | 17.5139 | 7 |
2.9421 | 2.8129 | 0.7735 | 17.0591 | 8 |
2.9230 | 2.8042 | 1.0521 | 17.0863 | 9 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2