Venkatesh4342
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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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) 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.
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- F1: 0.
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## Model description
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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:
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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 | Accuracy | F1 |
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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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| 0.
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### Framework versions
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1907
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- Accuracy: 0.9524
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- F1: 0.9514
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## Model description
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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 | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 159 | 0.9372 | 0.7302 | 0.6664 |
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| No log | 2.0 | 318 | 0.3961 | 0.9048 | 0.9011 |
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| No log | 3.0 | 477 | 0.1855 | 0.9365 | 0.9354 |
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| 0.7784 | 4.0 | 636 | 0.1987 | 0.9365 | 0.9354 |
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| 0.7784 | 5.0 | 795 | 0.1881 | 0.9524 | 0.9514 |
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| 0.7784 | 6.0 | 954 | 0.1907 | 0.9524 | 0.9514 |
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### Framework versions
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model.safetensors
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runs/Aug13_07-56-53_cf8f83462ee8/events.out.tfevents.1723535817.cf8f83462ee8.15750.0
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