senthil2002
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End of training
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README.md
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) 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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- Precision: 1.0
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- Recall: 1.0
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- F1: 1.0
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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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 results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1
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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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| No log | 7.0 |
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| No log | 8.0 |
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| No log | 9.0 |
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0096
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- Precision: 1.0
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- Recall: 1.0
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- F1: 1.0
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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 results
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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 | 5 | 0.5116 | 0.0 | 0.0 | 0.0 | 0.68 |
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| No log | 2.0 | 10 | 0.1927 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 3.0 | 15 | 0.0646 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 4.0 | 20 | 0.0445 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 5.0 | 25 | 0.0330 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 6.0 | 30 | 0.0281 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 7.0 | 35 | 0.0181 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 8.0 | 40 | 0.0124 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 9.0 | 45 | 0.0102 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 10.0 | 50 | 0.0096 | 1.0 | 1.0 | 1.0 | 1.0 |
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### Framework versions
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model.safetensors
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