LogischeIP
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End of training
Browse files
README.md
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) 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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- F1: 0.
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- Auc Roc: 0.
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- Log Loss: 0.
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 500
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Auc Roc | Log Loss |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-------:|:--------:|
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| 1.
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| 0.
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### Framework versions
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9470
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- Accuracy: 0.8644
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- F1: 0.8728
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- Auc Roc: 0.9185
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- Log Loss: 0.9470
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 6
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Auc Roc | Log Loss |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-------:|:--------:|
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| 1.0534 | 1.0 | 1618 | 0.6479 | 0.8694 | 0.8696 | 0.9298 | 0.6479 |
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| 0.6971 | 2.0 | 3236 | 1.0859 | 0.8371 | 0.8581 | 0.9236 | 1.0859 |
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| 0.5832 | 3.0 | 4854 | 0.9261 | 0.8495 | 0.8672 | 0.9255 | 0.9261 |
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| 0.4402 | 4.0 | 6472 | 0.8507 | 0.8719 | 0.8804 | 0.9251 | 0.8507 |
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| 0.3475 | 5.0 | 8090 | 0.9284 | 0.8657 | 0.8735 | 0.9198 | 0.9283 |
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| 0.2985 | 6.0 | 9708 | 0.9470 | 0.8644 | 0.8728 | 0.9185 | 0.9470 |
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### Framework versions
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model.safetensors
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