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Training completed!

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: roberta-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - f1
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+ model-index:
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+ - name: roberta-base-finetuned-stationary-chatgptDS
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # roberta-base-finetuned-stationary-chatgptDS
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+
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6459
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+ - Accuracy: 0.7367
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+ - F1: 0.7370
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 64
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+ - eval_batch_size: 64
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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: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.6374 | 1.0 | 75 | 0.6259 | 0.665 | 0.5312 |
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+ | 0.5898 | 2.0 | 150 | 0.5705 | 0.7067 | 0.6957 |
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+ | 0.5349 | 3.0 | 225 | 0.5607 | 0.725 | 0.6971 |
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+ | 0.4875 | 4.0 | 300 | 0.6014 | 0.6717 | 0.6807 |
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+ | 0.4353 | 5.0 | 375 | 0.5648 | 0.73 | 0.7188 |
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+ | 0.414 | 6.0 | 450 | 0.6210 | 0.7383 | 0.7044 |
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+ | 0.3587 | 7.0 | 525 | 0.6130 | 0.7367 | 0.7322 |
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+ | 0.299 | 8.0 | 600 | 0.6070 | 0.7333 | 0.7319 |
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+ | 0.2847 | 9.0 | 675 | 0.6725 | 0.7633 | 0.7519 |
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+ | 0.268 | 10.0 | 750 | 0.6459 | 0.7367 | 0.7370 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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