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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_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-large-finetuned-ctfl-augmented_05 |
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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: 1.0516 |
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- Validation Loss: 0.8511 |
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- Train Rouge1: 8.3805 |
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- Train Rouge2: 2.4257 |
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- Train Rougel: 8.4158 |
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- Train Rougelsum: 8.4158 |
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- Train Gen Len: 12.0149 |
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- Epoch: 5 |
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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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| 5.3441 | 2.0990 | 3.1931 | 0.4400 | 3.2577 | 3.2151 | 12.2277 | 0 | |
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| 2.2977 | 1.5680 | 7.0014 | 1.0891 | 7.0651 | 6.9307 | 11.3267 | 1 | |
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| 1.7363 | 1.2611 | 7.0674 | 1.0891 | 7.1287 | 7.0745 | 11.5545 | 2 | |
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| 1.4302 | 1.0860 | 8.3805 | 2.4257 | 8.4158 | 8.4158 | 11.8069 | 3 | |
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| 1.2082 | 0.9516 | 8.3805 | 2.4257 | 8.4158 | 8.4158 | 11.8861 | 4 | |
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| 1.0516 | 0.8511 | 8.3805 | 2.4257 | 8.4158 | 8.4158 | 12.0149 | 5 | |
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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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