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--- |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: cruiser/roberta_tensorflow_test |
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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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# cruiser/roberta_tensorflow_test |
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This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1366 |
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- Train Accuracy: 0.9537 |
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- Validation Loss: 0.8098 |
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- Validation Accuracy: 0.7875 |
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- Epoch: 5 |
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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': 34350, '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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| 0.6043 | 0.7502 | 0.5449 | 0.7756 | 0 | |
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| 0.4868 | 0.8044 | 0.5104 | 0.7807 | 1 | |
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| 0.3846 | 0.8472 | 0.5949 | 0.7705 | 2 | |
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| 0.2873 | 0.8908 | 0.6515 | 0.7858 | 3 | |
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| 0.1965 | 0.9293 | 0.7051 | 0.7813 | 4 | |
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| 0.1366 | 0.9537 | 0.8098 | 0.7875 | 5 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- TensorFlow 2.9.2 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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