Training in progress, epoch 1
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- training_args.bin +1 -1
README.md
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- recall
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model-index:
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- name:
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) 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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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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| No log | 1.0 | 134 | 0.
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| No log | 2.0 | 268 | 0.
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| No log | 3.0 | 402 | 0.
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### Framework versions
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- recall
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- f1
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model-index:
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- name: Morality_binary
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Morality_binary
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6646
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- Accuracy: 0.7332
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- Precision: 0.6974
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- Recall: 0.8428
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- F1: 0.7632
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- Auc: 0.7309
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Auc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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| No log | 1.0 | 134 | 0.5929 | 0.7127 | 0.6667 | 0.8739 | 0.7563 | 0.7093 |
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| No log | 2.0 | 268 | 0.5509 | 0.7407 | 0.7572 | 0.7239 | 0.7402 | 0.7410 |
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| No log | 3.0 | 402 | 0.6646 | 0.7332 | 0.6974 | 0.8428 | 0.7632 | 0.7309 |
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### Framework versions
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 4719
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version https://git-lfs.github.com/spec/v1
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size 4719
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