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--- |
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license: apache-2.0 |
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base_model: google/mt5-large |
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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-large-finetuned-ctfl-augmented |
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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-large-finetuned-ctfl-augmented |
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This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.3089 |
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- Validation Loss: 0.6932 |
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- Train Rouge1: 8.6987 |
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- Train Rouge2: 1.2871 |
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- Train Rougel: 8.8402 |
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- Train Rougelsum: 8.9993 |
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- Train Gen Len: 11.9208 |
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- Epoch: 23 |
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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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| 7.1544 | 4.7384 | 0.2888 | 0.0 | 0.2888 | 0.2475 | 16.6436 | 0 | |
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| 5.1911 | 2.1738 | 1.4851 | 0.3438 | 1.5242 | 1.5572 | 12.8564 | 1 | |
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| 3.6169 | 1.7018 | 5.5693 | 0.5776 | 5.5281 | 5.6931 | 11.6931 | 2 | |
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| 2.8957 | 1.4685 | 5.8581 | 0.8251 | 5.8581 | 5.9818 | 11.0347 | 3 | |
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| 1.9769 | 1.2807 | 6.6832 | 1.8152 | 6.8069 | 6.8688 | 11.4505 | 4 | |
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| 1.5772 | 1.1149 | 6.5064 | 1.1881 | 6.7185 | 6.7185 | 11.6485 | 5 | |
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| 1.3661 | 0.9914 | 8.4158 | 2.3762 | 8.4158 | 8.5809 | 11.8762 | 6 | |
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| 1.2399 | 0.8926 | 7.9915 | 2.1287 | 8.0269 | 8.2037 | 11.9604 | 7 | |
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| 1.0788 | 0.8530 | 8.4158 | 2.1287 | 8.6987 | 8.6987 | 11.9901 | 8 | |
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| 0.9825 | 0.8069 | 8.8637 | 2.3762 | 8.9345 | 9.0288 | 11.9653 | 9 | |
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| 0.9078 | 0.7803 | 8.4866 | 1.8812 | 8.6987 | 8.7341 | 11.9653 | 10 | |
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| 0.8409 | 0.7522 | 8.4866 | 1.8812 | 8.6987 | 8.7341 | 11.9802 | 11 | |
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| 0.7715 | 0.7171 | 8.2390 | 1.2871 | 8.4512 | 8.4866 | 11.9851 | 12 | |
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| 0.7063 | 0.7045 | 8.2390 | 1.2871 | 8.4512 | 8.4866 | 11.9505 | 13 | |
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| 0.6558 | 0.6797 | 8.2390 | 1.2871 | 8.4512 | 8.4866 | 11.9554 | 14 | |
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| 0.6074 | 0.6651 | 8.2390 | 1.2871 | 8.4512 | 8.4866 | 11.9455 | 15 | |
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| 0.5571 | 0.6555 | 8.2390 | 1.2871 | 8.4512 | 8.4866 | 11.9356 | 16 | |
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| 0.5126 | 0.6531 | 8.2390 | 1.2871 | 8.4512 | 8.4866 | 11.9257 | 17 | |
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| 0.4744 | 0.6481 | 8.2390 | 1.2871 | 8.4512 | 8.4866 | 11.9406 | 18 | |
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| 0.4356 | 0.6521 | 8.2390 | 1.2871 | 8.4512 | 8.4866 | 11.9406 | 19 | |
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| 0.3982 | 0.6618 | 8.2390 | 1.2871 | 8.4512 | 8.4866 | 11.9307 | 20 | |
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| 0.3667 | 0.6628 | 8.2390 | 1.2871 | 8.4512 | 8.4866 | 11.9208 | 21 | |
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| 0.3371 | 0.6723 | 8.2390 | 1.2871 | 8.4512 | 8.4866 | 11.9307 | 22 | |
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| 0.3089 | 0.6932 | 8.6987 | 1.2871 | 8.8402 | 8.9993 | 11.9208 | 23 | |
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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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