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--- |
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license: mit |
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base_model: LIAMF-USP/roberta-large-finetuned-race |
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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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- precision |
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- recall |
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model-index: |
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- name: roberta-large-finetuned-race-finetuned-mathqa |
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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-large-finetuned-race-finetuned-mathqa |
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This model is a fine-tuned version of [LIAMF-USP/roberta-large-finetuned-race](https://huggingface.co./LIAMF-USP/roberta-large-finetuned-race) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1282 |
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- Accuracy: 0.5476 |
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- F1: 0.5470 |
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- Precision: 0.5528 |
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- Recall: 0.5444 |
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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: 8 |
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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: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 1.3497 | 1.0 | 3712 | 1.2886 | 0.4659 | 0.4640 | 0.4761 | 0.4609 | |
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| 1.2074 | 2.0 | 7424 | 1.1684 | 0.5187 | 0.5182 | 0.5253 | 0.5153 | |
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| 1.0072 | 3.0 | 11136 | 1.1282 | 0.5476 | 0.5470 | 0.5528 | 0.5444 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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