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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: test-roberta-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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# test-roberta-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: 1.6094 |
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- Accuracy: 0.2007 |
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- F1: 0.1089 |
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- Precision: 0.1782 |
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- Recall: 0.1954 |
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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: 10 |
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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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| 1.6207 | 1.0 | 2970 | 1.6094 | 0.2064 | 0.0714 | 0.1694 | 0.2010 | |
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| 1.6136 | 2.0 | 5940 | 1.6094 | 0.2064 | 0.0951 | 0.1934 | 0.2020 | |
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| 1.6161 | 3.0 | 8910 | 1.6094 | 0.2007 | 0.1089 | 0.1782 | 0.1954 | |
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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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