| | --- |
| | license: apache-2.0 |
| | base_model: google/mt5-small |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: Alex034/mt5-small-indosum-summary |
| | 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. --> |
| |
|
| | # Alex034/mt5-small-indosum-summary |
| |
|
| | This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 2.1834 |
| | - Validation Loss: 0.8119 |
| | - Train Rouge1: 17.2055 |
| | - Train Rouge2: 12.3407 |
| | - Train Rougel: 15.9668 |
| | - Train Rougelsum: 16.7736 |
| | - Train Gen Len: 18.2148 |
| | - Epoch: 2 |
| |
|
| | ## 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 Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch | |
| | |:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:| |
| | | 7.0145 | 1.1865 | 15.8254 | 8.3420 | 13.6867 | 15.3117 | 18.9949 | 0 | |
| | | 3.2327 | 0.9192 | 16.7936 | 11.2927 | 15.3493 | 16.3918 | 17.2366 | 1 | |
| | | 2.1834 | 0.8119 | 17.2055 | 12.3407 | 15.9668 | 16.7736 | 18.2148 | 2 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.35.0 |
| | - TensorFlow 2.13.0 |
| | - Datasets 2.15.0 |
| | - Tokenizers 0.14.1 |
| |
|
