| | --- |
| | license: apache-2.0 |
| | base_model: google/mt5-base |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: tensorflowt5banel |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information Keras had access to. You should |
| | probably proofread and complete it, then remove this comment. --> |
| |
|
| | # tensorflowt5banel |
| |
|
| | This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 0.6064 |
| | - Train Accuracy: 0.9061 |
| | - Validation Loss: 0.4564 |
| | - Validation Accuracy: 0.9326 |
| | - 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 | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
| | |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
| | | 8.0095 | 0.6595 | 0.8290 | 0.8899 | 0 | |
| | | 1.0025 | 0.8851 | 0.6393 | 0.8900 | 1 | |
| | | 0.7252 | 0.8958 | 0.5124 | 0.9151 | 2 | |
| | | 0.6064 | 0.9061 | 0.4564 | 0.9326 | 3 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.31.0 |
| | - TensorFlow 2.12.0 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.13.3 |
| |
|
