End of training
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- model.safetensors +1 -1
README.md
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) 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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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 48 | 0.
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| No log | 2.0 | 96 | 0.
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| No log | 3.0 | 144 | 0.
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| No log | 4.0 | 192 | 0.
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| No log | 5.0 | 240 | 0.
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| No log | 6.0 | 288 | 0.
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| No log | 7.0 | 336 | 0.
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| No log | 8.0 | 384 | 0.
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| No log | 9.0 | 432 | 0.
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| No log | 10.0 | 480 | 0.
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### Framework versions
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1478
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- Precision: 0.7360
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- Recall: 0.8434
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- F1: 0.7861
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- Accuracy: 0.8974
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 48 | 0.1606 | 0.6667 | 0.7829 | 0.7201 | 0.8609 |
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| No log | 2.0 | 96 | 0.1518 | 0.6646 | 0.7758 | 0.7159 | 0.8574 |
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| No log | 3.0 | 144 | 0.1535 | 0.6152 | 0.7509 | 0.6763 | 0.8417 |
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| No log | 4.0 | 192 | 0.1510 | 0.6747 | 0.7972 | 0.7308 | 0.8626 |
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| No log | 5.0 | 240 | 0.1562 | 0.7547 | 0.8541 | 0.8013 | 0.9061 |
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| No log | 6.0 | 288 | 0.1436 | 0.7205 | 0.8256 | 0.7695 | 0.8974 |
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| No log | 7.0 | 336 | 0.1466 | 0.7484 | 0.8363 | 0.7899 | 0.9026 |
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| No log | 8.0 | 384 | 0.1450 | 0.7690 | 0.8648 | 0.8141 | 0.9130 |
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| No log | 9.0 | 432 | 0.1474 | 0.7453 | 0.8541 | 0.7960 | 0.9043 |
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| No log | 10.0 | 480 | 0.1478 | 0.7360 | 0.8434 | 0.7861 | 0.8974 |
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### Framework versions
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model.safetensors
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