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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: cptanalatriste/request-for-help |
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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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# cptanalatriste/request-for-help |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1342 |
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- Train Sparse Categorical Accuracy: 1.0 |
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- Validation Loss: 0.1514 |
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- Validation Sparse Categorical Accuracy: 0.9796 |
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- Epoch: 19 |
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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': 3e-05, '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 Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch | |
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|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:| |
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| 0.8291 | 0.375 | 0.7483 | 0.3673 | 0 | |
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| 0.7470 | 0.375 | 0.6302 | 0.8163 | 1 | |
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| 0.6504 | 0.625 | 0.6079 | 0.9184 | 2 | |
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| 0.6128 | 0.7812 | 0.5882 | 0.8980 | 3 | |
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| 0.5939 | 0.8125 | 0.5639 | 0.9184 | 4 | |
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| 0.5300 | 0.9688 | 0.5378 | 0.9184 | 5 | |
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| 0.5306 | 0.9688 | 0.5098 | 0.9388 | 6 | |
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| 0.4963 | 1.0 | 0.4806 | 0.9388 | 7 | |
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| 0.4683 | 0.9688 | 0.4434 | 0.9592 | 8 | |
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| 0.3959 | 1.0 | 0.4070 | 0.9796 | 9 | |
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| 0.3807 | 1.0 | 0.3762 | 0.9796 | 10 | |
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| 0.3509 | 1.0 | 0.3439 | 0.9796 | 11 | |
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| 0.3013 | 1.0 | 0.3064 | 0.9796 | 12 | |
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| 0.2848 | 1.0 | 0.2931 | 0.9796 | 13 | |
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| 0.2587 | 1.0 | 0.2681 | 0.9796 | 14 | |
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| 0.2510 | 1.0 | 0.2295 | 0.9796 | 15 | |
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| 0.1867 | 1.0 | 0.2000 | 0.9796 | 16 | |
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| 0.1652 | 1.0 | 0.1793 | 0.9796 | 17 | |
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| 0.1297 | 1.0 | 0.1637 | 0.9796 | 18 | |
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| 0.1342 | 1.0 | 0.1514 | 0.9796 | 19 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- TensorFlow 2.6.2 |
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- Datasets 1.18.4 |
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- Tokenizers 0.11.6 |
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