End of training
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- pytorch_model.bin +1 -1
README.md
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---
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license: cc
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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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model-index:
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- name: racism-finetuned-detests
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results: []
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This model is a fine-tuned version of [davidmasip/racism](https://huggingface.co/davidmasip/racism) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 0.0001 | 4.0 |
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| 0.0001 | 5.0 |
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| 0.0001 | 6.0 |
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| 0.0 | 9.0 |
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### Framework versions
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- Transformers 4.
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- Pytorch
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- Datasets 2.
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- Tokenizers 0.13.
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---
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license: cc
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base_model: davidmasip/racism
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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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- precision
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- recall
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model-index:
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- name: racism-finetuned-detests
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results: []
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This model is a fine-tuned version of [davidmasip/racism](https://huggingface.co/davidmasip/racism) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1626
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- Accuracy: 0.8331
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- F1-score: 0.7625
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- Precision: 0.7625
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- Recall: 0.7625
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- Auc: 0.7625
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall | Auc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|:------:|
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| 0.2554 | 1.0 | 174 | 0.3618 | 0.8380 | 0.7340 | 0.7901 | 0.7073 | 0.7073 |
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| 0.0488 | 2.0 | 348 | 0.7445 | 0.8282 | 0.7549 | 0.7556 | 0.7543 | 0.7543 |
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| 0.0005 | 3.0 | 522 | 0.9204 | 0.8429 | 0.7681 | 0.7794 | 0.7587 | 0.7587 |
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| 0.0001 | 4.0 | 696 | 1.0194 | 0.8462 | 0.7741 | 0.7838 | 0.7659 | 0.7659 |
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| 0.0001 | 5.0 | 870 | 1.0721 | 0.8363 | 0.7648 | 0.7676 | 0.7621 | 0.7621 |
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| 0.0001 | 6.0 | 1044 | 1.1081 | 0.8331 | 0.7625 | 0.7625 | 0.7625 | 0.7625 |
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| 0.0 | 7.0 | 1218 | 1.1324 | 0.8331 | 0.7625 | 0.7625 | 0.7625 | 0.7625 |
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| 0.0 | 8.0 | 1392 | 1.1492 | 0.8331 | 0.7625 | 0.7625 | 0.7625 | 0.7625 |
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| 0.0 | 9.0 | 1566 | 1.1592 | 0.8331 | 0.7625 | 0.7625 | 0.7625 | 0.7625 |
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| 0.0 | 10.0 | 1740 | 1.1626 | 0.8331 | 0.7625 | 0.7625 | 0.7625 | 0.7625 |
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### Framework versions
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- Transformers 4.33.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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pytorch_model.bin
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