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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: jonaskoenig/topic_classification_04 |
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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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# jonaskoenig/topic_classification_04 |
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This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.8707 |
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- Train Sparse Categorical Accuracy: 0.7120 |
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- Epoch: 6 |
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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': 5e-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 | Epoch | |
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|:----------:|:---------------------------------:|:-----:| |
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| 1.0735 | 0.6503 | 0 | |
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| 0.9742 | 0.6799 | 1 | |
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| 0.9424 | 0.6900 | 2 | |
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| 0.9199 | 0.6970 | 3 | |
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| 0.9016 | 0.7026 | 4 | |
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| 0.8853 | 0.7073 | 5 | |
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| 0.8707 | 0.7120 | 6 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- TensorFlow 2.9.1 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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