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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: EdBianchi/T5-finetuned-abstracts |
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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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# EdBianchi/T5-finetuned-abstracts |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 1.9469 |
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- Train Lr: 0.0004 |
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- Validation Loss: 1.8462 |
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- Validation Lr: 0.0002 |
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- Epoch: 1 |
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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': 'Adam', 'learning_rate': 0.00015378147, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Lr | Validation Loss | Validation Lr | Epoch | |
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|:----------:|:--------:|:---------------:|:-------------:|:-----:| |
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| 2.2534 | 0.0005 | 1.9839 | 0.0007 | 0 | |
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| 1.9469 | 0.0004 | 1.8462 | 0.0002 | 1 | |
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### Framework versions |
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- Transformers 4.21.3 |
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- TensorFlow 2.10.0 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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