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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: CamembertQA3 |
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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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# CamembertQA3 |
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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: 1.3289 |
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- Train End Logits Accuracy: 0.7077 |
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- Train Start Logits Accuracy: 0.6139 |
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- Validation Loss: 1.6439 |
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- Validation End Logits Accuracy: 0.6508 |
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- Validation Start Logits Accuracy: 0.5665 |
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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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch | |
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|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:| |
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| 1.8724 | 0.5931 | 0.5097 | 1.6982 | 0.6436 | 0.5656 | 0 | |
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| 1.3289 | 0.7077 | 0.6139 | 1.6439 | 0.6508 | 0.5665 | 1 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- TensorFlow 2.12.0 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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