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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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model-index: |
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- name: micro_base_help_class_no_pre_seed_0 |
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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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# micro_base_help_class_no_pre_seed_0 |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9454 |
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- Accuracy: 0.8456 |
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- F1 Macro: 0.6500 |
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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: 0 |
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 |
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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 Macro | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
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| 0.3239 | 1.0 | 313 | 0.3666 | 0.8572 | 0.5370 | |
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| 0.3208 | 2.0 | 626 | 0.3962 | 0.8536 | 0.4632 | |
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| 0.2688 | 3.0 | 939 | 0.3881 | 0.8622 | 0.5912 | |
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| 0.2105 | 4.0 | 1252 | 0.5269 | 0.8616 | 0.5922 | |
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| 0.1625 | 5.0 | 1565 | 0.6255 | 0.859 | 0.6338 | |
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| 0.1188 | 6.0 | 1878 | 0.8231 | 0.8572 | 0.6169 | |
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| 0.052 | 7.0 | 2191 | 0.8230 | 0.8616 | 0.6189 | |
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| 0.053 | 8.0 | 2504 | 0.9466 | 0.8422 | 0.6496 | |
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| 0.0365 | 9.0 | 2817 | 0.9747 | 0.8556 | 0.6365 | |
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| 0.0452 | 10.0 | 3130 | 0.9923 | 0.8578 | 0.6360 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.15.2 |
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