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--- |
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license: apache-2.0 |
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base_model: pakawadeep/mt5-base-finetuned-ctfl |
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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-base-finetuned-ctfl |
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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-base-finetuned-ctfl |
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This model is a fine-tuned version of [pakawadeep/mt5-base-finetuned-ctfl](https://huggingface.co/pakawadeep/mt5-base-finetuned-ctfl) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.3091 |
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- Validation Loss: 1.1147 |
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- Train Rouge1: 8.9816 |
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- Train Rouge2: 1.1881 |
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- Train Rougel: 8.8048 |
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- Train Rougelsum: 8.7871 |
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- Train Gen Len: 11.9604 |
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- Epoch: 27 |
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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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| 1.1067 | 1.0353 | 7.4965 | 1.6832 | 7.4257 | 7.3904 | 11.8762 | 0 | |
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| 0.9573 | 1.0010 | 7.9915 | 1.6832 | 7.9208 | 7.7793 | 11.9109 | 1 | |
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| 0.8858 | 1.0002 | 8.4866 | 2.1782 | 8.2744 | 8.2744 | 11.9158 | 2 | |
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| 0.8402 | 0.9827 | 8.4866 | 2.1782 | 8.2744 | 8.2744 | 11.9554 | 3 | |
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| 0.7900 | 0.9961 | 8.4866 | 2.1782 | 8.2744 | 8.2744 | 11.9158 | 4 | |
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| 0.7646 | 0.9898 | 8.4866 | 2.1782 | 8.2744 | 8.2744 | 11.9505 | 5 | |
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| 0.7190 | 0.9805 | 8.4866 | 2.1782 | 8.2744 | 8.2744 | 11.9208 | 6 | |
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| 0.7021 | 0.9683 | 8.4866 | 2.1782 | 8.2744 | 8.2744 | 11.9455 | 7 | |
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| 0.6613 | 0.9732 | 8.9816 | 2.1782 | 8.7694 | 8.8755 | 11.9703 | 8 | |
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| 0.6416 | 0.9807 | 8.4866 | 2.1782 | 8.2744 | 8.2744 | 11.9505 | 9 | |
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| 0.6139 | 0.9771 | 8.4866 | 2.1782 | 8.2744 | 8.2744 | 11.9307 | 10 | |
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| 0.5864 | 0.9723 | 8.4866 | 2.1782 | 8.2744 | 8.2744 | 11.9505 | 11 | |
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| 0.5844 | 0.9919 | 8.4866 | 2.1782 | 8.2744 | 8.2744 | 11.9653 | 12 | |
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| 0.5679 | 1.0097 | 8.4866 | 2.1782 | 8.2744 | 8.2744 | 11.9307 | 13 | |
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| 0.5329 | 0.9947 | 7.9915 | 1.1881 | 7.8501 | 7.7793 | 11.9554 | 14 | |
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| 0.5173 | 0.9877 | 8.2037 | 1.6832 | 8.0622 | 8.0269 | 11.9505 | 15 | |
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| 0.4823 | 0.9955 | 7.7793 | 1.1881 | 7.5318 | 7.5318 | 11.9109 | 16 | |
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| 0.4626 | 1.0106 | 7.9915 | 1.1881 | 7.8501 | 7.7793 | 11.9703 | 17 | |
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| 0.4497 | 1.0056 | 7.7793 | 1.1881 | 7.5318 | 7.5318 | 11.9109 | 18 | |
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| 0.4276 | 1.0341 | 7.7793 | 1.1881 | 7.5318 | 7.5318 | 11.8911 | 19 | |
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| 0.4056 | 1.0482 | 7.7793 | 1.1881 | 7.5318 | 7.5318 | 11.8960 | 20 | |
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| 0.4003 | 1.0365 | 8.2390 | 1.1881 | 7.9915 | 8.1683 | 11.9356 | 21 | |
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| 0.3774 | 1.0646 | 8.2390 | 1.1881 | 7.9915 | 8.1683 | 11.9158 | 22 | |
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| 0.3668 | 1.0713 | 8.2390 | 1.1881 | 7.9915 | 8.1683 | 11.9158 | 23 | |
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| 0.3539 | 1.0748 | 8.2390 | 1.1881 | 7.9915 | 8.1683 | 11.9257 | 24 | |
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| 0.3355 | 1.0859 | 8.0387 | 0.8911 | 7.9208 | 7.9208 | 11.8663 | 25 | |
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| 0.3247 | 1.0929 | 8.7694 | 1.1881 | 8.5573 | 8.5573 | 11.9356 | 26 | |
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| 0.3091 | 1.1147 | 8.9816 | 1.1881 | 8.8048 | 8.7871 | 11.9604 | 27 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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