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--- |
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license: apache-2.0 |
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base_model: BSC-TeMU/roberta-base-bne |
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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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model-index: |
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- name: roberta-base-bne-finetuned-detests-ini |
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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-bne-finetuned-detests-ini |
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This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co./BSC-TeMU/roberta-base-bne) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9922 |
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- Accuracy: 0.8576 |
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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: 16 |
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- eval_batch_size: 16 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.3505 | 1.0 | 153 | 0.3533 | 0.8380 | |
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| 0.3031 | 2.0 | 306 | 0.3637 | 0.8363 | |
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| 0.0623 | 3.0 | 459 | 0.6493 | 0.8560 | |
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| 0.0011 | 4.0 | 612 | 0.8077 | 0.8642 | |
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| 0.0003 | 5.0 | 765 | 0.9070 | 0.8625 | |
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| 0.0002 | 6.0 | 918 | 0.9381 | 0.8625 | |
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| 0.0002 | 7.0 | 1071 | 0.9621 | 0.8592 | |
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| 0.0001 | 8.0 | 1224 | 0.9787 | 0.8592 | |
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| 0.0001 | 9.0 | 1377 | 0.9888 | 0.8576 | |
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| 0.0001 | 10.0 | 1530 | 0.9922 | 0.8576 | |
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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 2.17.0 |
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- Tokenizers 0.15.2 |
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