End of training
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- model.safetensors +1 -1
README.md
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base_model: xlnet-base-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: trueparagraph.ai-xlnet
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results: []
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# trueparagraph.ai-xlnet
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This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the None dataset.
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## Model description
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### Training results
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### Framework versions
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base_model: xlnet-base-cased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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model-index:
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- name: trueparagraph.ai-xlnet
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results: []
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# trueparagraph.ai-xlnet
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This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Accuracy: 0.8951
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- F1: 0.8984
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- Precision: 0.8674
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- Recall: 0.9316
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- Mcc: 0.7924
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- Roc Auc: 0.8952
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- Pr Auc: 0.8421
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- Log Loss: 1.8813
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- Loss: 0.2913
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Accuracy | F1 | Precision | Recall | Mcc | Roc Auc | Pr Auc | Log Loss | Validation Loss |
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|:-------------:|:------:|:----:|:--------:|:------:|:---------:|:------:|:------:|:-------:|:------:|:--------:|:---------------:|
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| 0.649 | 0.6297 | 500 | 0.8006 | 0.8195 | 0.7457 | 0.9095 | 0.6164 | 0.8010 | 0.7233 | 4.0119 | 0.4063 |
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| 0.4104 | 1.2594 | 1000 | 0.8409 | 0.8294 | 0.8892 | 0.7772 | 0.6870 | 0.8406 | 0.8020 | 2.4398 | 0.4054 |
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| 0.4101 | 1.8892 | 1500 | 0.8100 | 0.8359 | 0.7332 | 0.9722 | 0.6560 | 0.8107 | 0.7266 | 3.4982 | 0.4405 |
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| 0.4046 | 2.5189 | 2000 | 0.7754 | 0.8120 | 0.6959 | 0.9747 | 0.6012 | 0.7762 | 0.6909 | 3.0282 | 0.5111 |
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| 0.3992 | 3.1486 | 2500 | 0.8664 | 0.8625 | 0.8843 | 0.8418 | 0.7336 | 0.8663 | 0.8232 | 2.7164 | 0.3871 |
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| 0.3691 | 3.7783 | 3000 | 0.8774 | 0.8850 | 0.8303 | 0.9475 | 0.7626 | 0.8777 | 0.8128 | 1.8936 | 0.3413 |
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| 0.2581 | 4.4081 | 3500 | 0.8951 | 0.8984 | 0.8674 | 0.9316 | 0.7924 | 0.8952 | 0.8421 | 1.8813 | 0.2913 |
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### Framework versions
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model.safetensors
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