End of training
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README.md
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This model is a fine-tuned version of [bobbyw/deberta-v3-large_v1_no_entities_with_context](https://huggingface.co/bobbyw/deberta-v3-large_v1_no_entities_with_context) on an unknown 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: 0.0045
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- F1: 0.0090
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- Precision: 0.0045
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 3
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- eval_batch_size: 3
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Rate |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.
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- Tokenizers 0.19.1
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This model is a fine-tuned version of [bobbyw/deberta-v3-large_v1_no_entities_with_context](https://huggingface.co/bobbyw/deberta-v3-large_v1_no_entities_with_context) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0260
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- Accuracy: 0.0045
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- F1: 0.0090
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- Precision: 0.0045
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 3
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- eval_batch_size: 3
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Rate |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
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| 0.0296 | 1.0 | 540 | 0.0260 | 0.0045 | 0.0090 | 0.0045 | 1.0 | 0.0000 |
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| 0.0292 | 2.0 | 1080 | 0.0261 | 0.0045 | 0.0090 | 0.0045 | 1.0 | 1e-05 |
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| 0.0306 | 3.0 | 1620 | 0.0260 | 0.0045 | 0.0090 | 0.0045 | 1.0 | 5e-06 |
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| 0.0297 | 4.0 | 2160 | 0.0260 | 0.0045 | 0.0090 | 0.0045 | 1.0 | 0.0 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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