End of training
Browse files- README.md +19 -7
- test_metrics.json +10 -0
README.md
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: newsdata-bert
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results: []
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- f1
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- recall
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model-index:
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- name: newsdata-bert
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results: []
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4835
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- Accuracy: 0.8617
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- Precision: 0.8494
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- F1: 0.8533
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- Recall: 0.8617
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | F1 | Recall |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 1.2095 | 0.1024 | 1000 | 1.0182 | 0.7335 | 0.6811 | 0.6915 | 0.7335 |
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| 0.8995 | 0.2048 | 2000 | 0.8102 | 0.7798 | 0.7622 | 0.7586 | 0.7798 |
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| 0.7554 | 0.3071 | 3000 | 0.6720 | 0.8165 | 0.7938 | 0.8023 | 0.8165 |
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| 0.6805 | 0.4095 | 4000 | 0.6185 | 0.828 | 0.8107 | 0.8157 | 0.828 |
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| 0.6192 | 0.5119 | 5000 | 0.5865 | 0.8322 | 0.8233 | 0.8226 | 0.8322 |
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| 0.5963 | 0.6143 | 6000 | 0.5462 | 0.8475 | 0.8333 | 0.8356 | 0.8475 |
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| 0.5466 | 0.7166 | 7000 | 0.5384 | 0.849 | 0.8386 | 0.8398 | 0.849 |
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| 0.5447 | 0.8190 | 8000 | 0.4923 | 0.8582 | 0.8440 | 0.8491 | 0.8582 |
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| 0.5288 | 0.9214 | 9000 | 0.4835 | 0.8617 | 0.8494 | 0.8533 | 0.8617 |
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### Framework versions
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test_metrics.json
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{
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"test_loss": 0.49915796518325806,
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"test_accuracy": 0.853,
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"test_precision": 0.8384585974334487,
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"test_f1": 0.8435501905258904,
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"test_recall": 0.853,
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"test_runtime": 61.1281,
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"test_samples_per_second": 65.436,
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"test_steps_per_second": 32.718
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}
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