Senthil
commited on
End of training
Browse files
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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### 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: 8
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- eval_batch_size: 8
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- seed: 42
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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 | 5 | 0.
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| No log | 2.0 | 10 | 0.
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| No log | 3.0 | 15 | 0.
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| No log | 4.0 | 20 | 0.
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| No log | 5.0 | 25 | 0.
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| No log | 6.0 | 30 | 0.
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| No log | 7.0 | 35 | 0.
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| No log | 8.0 | 40 | 0.
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| No log | 9.0 | 45 | 0.
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| No log | 10.0 | 50 | 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: 0.0279
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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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### 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: 8
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- eval_batch_size: 8
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- seed: 42
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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 | 0.6770 | 1.0 | 0.125 | 0.2222 | 0.72 |
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| No log | 2.0 | 10 | 0.4498 | 1.0 | 0.375 | 0.5455 | 0.8 |
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| No log | 3.0 | 15 | 0.2710 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 4.0 | 20 | 0.1612 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 5.0 | 25 | 0.0898 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 6.0 | 30 | 0.0528 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 7.0 | 35 | 0.0377 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 8.0 | 40 | 0.0314 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 9.0 | 45 | 0.0287 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 10.0 | 50 | 0.0279 | 1.0 | 1.0 | 1.0 | 1.0 |
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### Framework versions
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model.safetensors
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training_args.bin
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