metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_keras_callback
model-index:
- name: pavithra-devi/mt5-small-finetuned-amazon-en-es
results: []
pavithra-devi/mt5-small-finetuned-amazon-en-es
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 19.3166
- Validation Loss: 18.4308
- Epoch: 7
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 96, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 22.5768 | 19.8329 | 0 |
| 21.6900 | 19.0180 | 1 |
| 21.0482 | 18.3382 | 2 |
| 20.1535 | 18.1752 | 3 |
| 19.1351 | 18.1943 | 4 |
| 20.5168 | 18.4165 | 5 |
| 18.1836 | 18.2371 | 6 |
| 19.3166 | 18.4308 | 7 |
Framework versions
- Transformers 4.41.1
- TensorFlow 2.13.1
- Datasets 2.19.1
- Tokenizers 0.19.1