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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: pakawadeep/mt5-small-finetuned-ctfl-augmented_05 |
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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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# pakawadeep/mt5-small-finetuned-ctfl-augmented_05 |
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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: 0.8100 |
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- Validation Loss: 0.9101 |
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- Train Rouge1: 7.9562 |
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- Train Rouge2: 1.3861 |
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- Train Rougel: 7.9562 |
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- Train Rougelsum: 7.9562 |
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- Train Gen Len: 11.9851 |
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- Epoch: 29 |
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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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| 9.2952 | 2.6353 | 1.5618 | 0.0 | 1.5117 | 1.5288 | 16.5347 | 0 | |
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| 4.7507 | 1.8159 | 5.5776 | 0.2888 | 5.5611 | 5.5281 | 12.2475 | 1 | |
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| 3.4617 | 1.8004 | 4.7218 | 0.2888 | 4.7218 | 4.6723 | 11.2723 | 2 | |
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| 2.8272 | 1.7197 | 6.1410 | 0.8251 | 6.1410 | 6.0113 | 11.1634 | 3 | |
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| 2.4003 | 1.6328 | 7.7086 | 2.1782 | 7.7086 | 7.7086 | 11.7277 | 4 | |
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| 2.0952 | 1.5374 | 8.2037 | 2.1782 | 8.2037 | 8.2037 | 11.8713 | 5 | |
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| 1.8634 | 1.4405 | 8.2037 | 2.1782 | 8.2037 | 8.2037 | 11.9406 | 6 | |
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| 1.6782 | 1.3615 | 8.2037 | 2.1782 | 8.2037 | 8.2037 | 11.9307 | 7 | |
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| 1.5333 | 1.3046 | 8.6987 | 2.1782 | 8.6987 | 8.6987 | 11.9356 | 8 | |
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| 1.4151 | 1.2718 | 8.6987 | 2.1782 | 8.6987 | 8.6987 | 11.9455 | 9 | |
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| 1.3320 | 1.2373 | 8.6987 | 2.1782 | 8.6987 | 8.6987 | 11.9406 | 10 | |
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| 1.2664 | 1.2064 | 8.9816 | 2.3762 | 8.9109 | 8.9816 | 11.9158 | 11 | |
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| 1.2220 | 1.1775 | 8.9816 | 2.3762 | 8.9109 | 8.9816 | 11.9356 | 12 | |
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| 1.1767 | 1.1413 | 8.9816 | 2.3762 | 8.9109 | 8.9816 | 11.9554 | 13 | |
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| 1.1303 | 1.1072 | 8.9816 | 2.3762 | 8.9109 | 8.9816 | 11.9505 | 14 | |
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| 1.0972 | 1.0782 | 8.6987 | 1.7822 | 8.6987 | 8.6987 | 11.9703 | 15 | |
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| 1.0664 | 1.0578 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9554 | 16 | |
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| 1.0392 | 1.0504 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9752 | 17 | |
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| 1.0152 | 1.0242 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9653 | 18 | |
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| 0.9892 | 1.0193 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9703 | 19 | |
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| 0.9627 | 0.9990 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9802 | 20 | |
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| 0.9460 | 0.9869 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9752 | 21 | |
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| 0.9262 | 0.9735 | 7.9562 | 1.3861 | 7.9562 | 7.9562 | 11.9703 | 22 | |
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| 0.9083 | 0.9637 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9554 | 23 | |
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| 0.8924 | 0.9525 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9653 | 24 | |
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| 0.8749 | 0.9622 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9703 | 25 | |
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| 0.8588 | 0.9417 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9554 | 26 | |
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| 0.8421 | 0.9427 | 8.4866 | 1.3861 | 8.4512 | 8.4866 | 11.9653 | 27 | |
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| 0.8249 | 0.9339 | 7.9562 | 1.3861 | 7.9562 | 7.9562 | 11.9703 | 28 | |
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| 0.8100 | 0.9101 | 7.9562 | 1.3861 | 7.9562 | 7.9562 | 11.9851 | 29 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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