Venkatesh4342
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End of training
Browse files
README.md
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) 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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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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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: 4
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- eval_batch_size: 4
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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| No log | 4.0 |
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| No log | 5.0 |
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| No log | 6.0 |
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### Framework versions
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0559
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- Precision: 0.95
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- Recall: 0.9661
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- F1: 0.9580
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- Accuracy: 0.9856
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## Model description
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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: 4
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- eval_batch_size: 4
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 59 | 0.1342 | 0.8974 | 0.8898 | 0.8936 | 0.9633 |
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| No log | 2.0 | 118 | 0.0559 | 0.95 | 0.9661 | 0.9580 | 0.9856 |
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| No log | 3.0 | 177 | 0.0612 | 0.9417 | 0.9576 | 0.9496 | 0.9872 |
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| No log | 4.0 | 236 | 0.0605 | 0.9322 | 0.9322 | 0.9322 | 0.9840 |
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| No log | 5.0 | 295 | 0.0570 | 0.9496 | 0.9576 | 0.9536 | 0.9888 |
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| No log | 6.0 | 354 | 0.0579 | 0.9496 | 0.9576 | 0.9536 | 0.9888 |
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### Framework versions
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model.safetensors
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