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End of training
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README.md
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None 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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### Framework versions
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8577
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- Precision: 0.8485
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- Recall: 0.8430
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- F1: 0.8432
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- Accuracy: 0.8430
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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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| 1.652 | 0.28 | 100 | 1.1388 | 0.6937 | 0.6437 | 0.6307 | 0.6437 |
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| 0.859 | 0.56 | 200 | 0.7035 | 0.8068 | 0.7919 | 0.7899 | 0.7919 |
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| 0.6338 | 0.84 | 300 | 0.6473 | 0.8388 | 0.8113 | 0.8127 | 0.8113 |
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| 0.4787 | 1.12 | 400 | 0.6436 | 0.8229 | 0.8131 | 0.8129 | 0.8131 |
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| 0.4248 | 1.4 | 500 | 0.6372 | 0.8328 | 0.8289 | 0.8286 | 0.8289 |
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| 0.4081 | 1.69 | 600 | 0.5920 | 0.8599 | 0.8554 | 0.8554 | 0.8554 |
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| 0.2712 | 1.97 | 700 | 0.6843 | 0.8466 | 0.8413 | 0.8421 | 0.8413 |
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| 0.1995 | 2.25 | 800 | 0.6760 | 0.8552 | 0.8448 | 0.8461 | 0.8448 |
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| 0.2102 | 2.53 | 900 | 0.7538 | 0.8424 | 0.8377 | 0.8387 | 0.8377 |
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| 0.204 | 2.81 | 1000 | 0.7491 | 0.8374 | 0.8325 | 0.8327 | 0.8325 |
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| 0.1359 | 3.09 | 1100 | 0.7597 | 0.8537 | 0.8483 | 0.8480 | 0.8483 |
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| 0.0688 | 3.37 | 1200 | 0.8339 | 0.8405 | 0.8342 | 0.8338 | 0.8342 |
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| 0.0878 | 3.65 | 1300 | 0.8136 | 0.8545 | 0.8466 | 0.8465 | 0.8466 |
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| 0.0795 | 3.93 | 1400 | 0.8346 | 0.8435 | 0.8395 | 0.8397 | 0.8395 |
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| 0.0256 | 4.21 | 1500 | 0.8602 | 0.8417 | 0.8360 | 0.8362 | 0.8360 |
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| 0.0589 | 4.49 | 1600 | 0.8559 | 0.8507 | 0.8448 | 0.8449 | 0.8448 |
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| 0.0201 | 4.78 | 1700 | 0.8603 | 0.8500 | 0.8448 | 0.8449 | 0.8448 |
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### Framework versions
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model.safetensors
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