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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: roberta-base-riddle-finetuned_new_3choice |
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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-riddle-finetuned_new_3choice |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2420 |
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- Accuracy: 0.9000 |
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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: 0.001 |
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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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| No log | 1.0 | 23 | 0.4131 | 0.875 | |
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| No log | 2.0 | 46 | 0.4599 | 0.8250 | |
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| No log | 3.0 | 69 | 0.3552 | 0.8250 | |
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| No log | 4.0 | 92 | 0.3887 | 0.8500 | |
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| No log | 5.0 | 115 | 0.3795 | 0.875 | |
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| No log | 6.0 | 138 | 0.3703 | 0.875 | |
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| No log | 7.0 | 161 | 0.2565 | 0.875 | |
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| No log | 8.0 | 184 | 0.4069 | 0.875 | |
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| No log | 9.0 | 207 | 0.2420 | 0.9000 | |
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| No log | 10.0 | 230 | 0.2521 | 0.9000 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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