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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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base_model: nlptown/bert-base-multilingual-uncased-sentiment |
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model-index: |
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- name: tmp9770t4k0 |
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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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# tmp9770t4k0 |
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This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) on an [muchocine](https://huggingface.co/datasets/muchocine) dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.6629 |
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- Train Accuracy: 0.7345 |
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- Validation Loss: 1.4827 |
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- Validation Accuracy: 0.5 |
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- Epoch: 2 |
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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': 1305, '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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| 1.3718 | 0.3908 | 1.2647 | 0.4381 | 0 | |
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| 1.0808 | 0.5330 | 1.2672 | 0.4742 | 1 | |
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| 0.6629 | 0.7345 | 1.4827 | 0.5 | 2 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- TensorFlow 2.8.0 |
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- Datasets 1.18.4 |
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- Tokenizers 0.11.6 |
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