End of training
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README.md
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This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-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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- F1: 0.
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- Precision: 0.
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- Recall: 0.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1
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### Framework versions
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This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8571
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- Accuracy: 0.8465
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- F1: 0.7979
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- Precision: 0.875
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- Recall: 0.7333
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 0.7086 | 1.0 | 64 | 0.6695 | 0.5866 | 0.0 | 0.0 | 0.0 |
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| 0.6423 | 2.0 | 128 | 0.6102 | 0.6929 | 0.6777 | 0.5985 | 0.7810 |
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| 0.5089 | 3.0 | 192 | 0.5276 | 0.7756 | 0.7016 | 0.7791 | 0.6381 |
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| 0.491 | 4.0 | 256 | 0.8212 | 0.7559 | 0.6310 | 0.8413 | 0.5048 |
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| 0.3367 | 5.0 | 320 | 0.6119 | 0.8189 | 0.7982 | 0.7398 | 0.8667 |
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| 0.2412 | 6.0 | 384 | 0.4921 | 0.8346 | 0.7742 | 0.8889 | 0.6857 |
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| 0.154 | 7.0 | 448 | 0.8891 | 0.8268 | 0.7609 | 0.8861 | 0.6667 |
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| 0.1075 | 8.0 | 512 | 0.9218 | 0.8504 | 0.8021 | 0.8851 | 0.7333 |
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| 0.081 | 9.0 | 576 | 0.8782 | 0.8465 | 0.7958 | 0.8837 | 0.7238 |
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| 0.0727 | 10.0 | 640 | 0.8571 | 0.8465 | 0.7979 | 0.875 | 0.7333 |
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### Framework versions
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model.safetensors
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