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--- |
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license: mit |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: huynhdoo/camembert-base-finetuned-jva-missions-report |
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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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# huynhdoo/camembert-base-finetuned-jva-missions-report |
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This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0877 |
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- Train Accuracy: 0.9757 |
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- Validation Loss: 0.5045 |
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- Validation Accuracy: 0.8380 |
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- Epoch: 4 |
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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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1005, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, '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 Accuracy | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 0.5060 | 0.7617 | 0.3795 | 0.8436 | 0 | |
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| 0.3267 | 0.8718 | 0.3577 | 0.8436 | 1 | |
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| 0.2134 | 0.9272 | 0.3967 | 0.8324 | 2 | |
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| 0.1303 | 0.9589 | 0.4488 | 0.8324 | 3 | |
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| 0.0877 | 0.9757 | 0.5045 | 0.8380 | 4 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- TensorFlow 2.9.2 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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