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--- |
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license: apache-2.0 |
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base_model: google/mt5-small |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: Alex034/mt5-small-indosum-summary |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# Alex034/mt5-small-indosum-summary |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 2.1834 |
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- Validation Loss: 0.8119 |
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- Train Rouge1: 17.2055 |
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- Train Rouge2: 12.3407 |
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- Train Rougel: 15.9668 |
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- Train Rougelsum: 16.7736 |
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- Train Gen Len: 18.2148 |
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- Epoch: 2 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch | |
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|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:| |
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| 7.0145 | 1.1865 | 15.8254 | 8.3420 | 13.6867 | 15.3117 | 18.9949 | 0 | |
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| 3.2327 | 0.9192 | 16.7936 | 11.2927 | 15.3493 | 16.3918 | 17.2366 | 1 | |
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| 2.1834 | 0.8119 | 17.2055 | 12.3407 | 15.9668 | 16.7736 | 18.2148 | 2 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- TensorFlow 2.13.0 |
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- Datasets 2.15.0 |
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- Tokenizers 0.14.1 |
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