arushisharma
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Model save
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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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- 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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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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- num_epochs:
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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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### 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: 0.1559
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- Precision: 0.9454
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- Recall: 0.9426
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- F1: 0.9440
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- Accuracy: 0.9521
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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: 128
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- eval_batch_size: 128
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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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- num_epochs: 5
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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 | 123 | 0.1823 | 0.9362 | 0.9322 | 0.9342 | 0.9438 |
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| No log | 2.0 | 246 | 0.1700 | 0.9409 | 0.9381 | 0.9395 | 0.9482 |
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| No log | 3.0 | 369 | 0.1618 | 0.9431 | 0.9403 | 0.9417 | 0.9501 |
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| No log | 4.0 | 492 | 0.1564 | 0.9448 | 0.9418 | 0.9433 | 0.9516 |
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| 0.1554 | 5.0 | 615 | 0.1559 | 0.9454 | 0.9426 | 0.9440 | 0.9521 |
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### Framework versions
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model.safetensors
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runs/Mar25_16-12-02_8296f25da3be/events.out.tfevents.1711383123.8296f25da3be.564.1
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