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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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<!-- 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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# roberta-base-finetuned-stationary-chatgptDS |
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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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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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: 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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### Training results |
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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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### Framework versions |
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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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