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--- |
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language: |
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- en |
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license: mit |
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base_model: roberta-large |
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tags: |
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- generated_from_trainer |
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datasets: |
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- schone-power |
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model-index: |
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- name: final |
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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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# final |
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the GLUE SCHONE_POW dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1556 |
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- Roc Auc: 0.9742 |
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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: 1e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 256 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 256 |
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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: 5.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Roc Auc | |
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|:-------------:|:------:|:----:|:---------------:|:-------:| |
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| 0.2924 | 0.9985 | 332 | 0.2605 | 0.9248 | |
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| 0.2553 | 2.0 | 665 | 0.2234 | 0.9468 | |
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| 0.2317 | 2.9985 | 997 | 0.1899 | 0.9620 | |
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| 0.2063 | 4.0 | 1330 | 0.1645 | 0.9715 | |
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| 0.1897 | 4.9925 | 1660 | 0.1556 | 0.9742 | |
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### Framework versions |
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- Transformers 4.44.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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