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 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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- F1:
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- Acc:
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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: 32
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- eval_batch_size: 32
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- seed: 42
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1
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| 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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1798
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- F1: 0.9941
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- Acc: 0.9944
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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: 5e-06
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Acc |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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| 0.3766 | 1.0 | 90 | 0.1798 | 0.9941 | 0.9944 |
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### Framework versions
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model.safetensors
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runs/Dec30_22-04-14_Aadityas-MacBook-Pro.local/events.out.tfevents.1735576454.Aadityas-MacBook-Pro.local.27201.0
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training_args.bin
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