End of training
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- model.safetensors +1 -1
README.md
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base_model: distilbert-base-uncased
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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-DistilBERT
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results: []
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# trueparagraph.ai-DistilBERT
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) 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: distilbert-base-uncased
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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-DistilBERT
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results: []
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# trueparagraph.ai-DistilBERT
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Accuracy: 0.9427
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- F1: 0.9429
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- Precision: 0.9352
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- Recall: 0.9506
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- Mcc: 0.8854
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- Roc Auc: 0.9427
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- Pr Auc: 0.9136
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- Log Loss: 0.9232
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- Loss: 0.3017
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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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| 0.5806 | 0.6297 | 500 | 0.8207 | 0.8349 | 0.7708 | 0.9108 | 0.6525 | 0.8211 | 0.7464 | 3.1049 | 0.4137 |
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| 0.3015 | 1.2594 | 1000 | 0.8919 | 0.8885 | 0.9137 | 0.8646 | 0.7849 | 0.8918 | 0.8574 | 1.7818 | 0.3298 |
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| 0.2287 | 1.8892 | 1500 | 0.9175 | 0.9155 | 0.9330 | 0.8987 | 0.8354 | 0.9174 | 0.8889 | 1.3631 | 0.2585 |
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| 0.1444 | 2.5189 | 2000 | 0.9310 | 0.9312 | 0.9240 | 0.9386 | 0.8621 | 0.9310 | 0.8978 | 1.1225 | 0.2439 |
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| 0.1149 | 3.1486 | 2500 | 0.9272 | 0.9304 | 0.8874 | 0.9778 | 0.8589 | 0.9274 | 0.8788 | 1.1773 | 0.3574 |
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| 0.0716 | 3.7783 | 3000 | 0.9401 | 0.9405 | 0.9311 | 0.95 | 0.8805 | 0.9402 | 0.9095 | 0.9662 | 0.2655 |
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| 0.0411 | 4.4081 | 3500 | 0.9427 | 0.9429 | 0.9352 | 0.9506 | 0.8854 | 0.9427 | 0.9136 | 0.9232 | 0.3017 |
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### Framework versions
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model.safetensors
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