Venkatesh4342
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End of training
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- model.safetensors +1 -1
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:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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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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### 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: 0.0416
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- Precision: 0.9291
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- Recall: 0.9704
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- F1: 0.9493
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- Accuracy: 0.9910
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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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 | 184 | 0.0454 | 0.9154 | 0.8815 | 0.8981 | 0.9843 |
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| No log | 2.0 | 368 | 0.0444 | 0.9220 | 0.9630 | 0.9420 | 0.9903 |
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| 0.0654 | 3.0 | 552 | 0.0416 | 0.9291 | 0.9704 | 0.9493 | 0.9910 |
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| 0.0654 | 4.0 | 736 | 0.0422 | 0.9489 | 0.9630 | 0.9559 | 0.9918 |
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| 0.0654 | 5.0 | 920 | 0.0451 | 0.9416 | 0.9556 | 0.9485 | 0.9910 |
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| 0.0064 | 6.0 | 1104 | 0.0461 | 0.9416 | 0.9556 | 0.9485 | 0.9910 |
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### Framework versions
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model.safetensors
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