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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 |
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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 |
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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: 0.3741 |
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- Accuracy: 0.8250 |
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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: 0.0005 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 30 |
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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 | 12 | 1.3036 | 0.4500 | |
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| No log | 2.0 | 24 | 1.1112 | 0.4750 | |
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| No log | 3.0 | 36 | 1.0265 | 0.4500 | |
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| No log | 4.0 | 48 | 1.1130 | 0.6000 | |
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| No log | 5.0 | 60 | 0.8603 | 0.625 | |
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| No log | 6.0 | 72 | 0.8099 | 0.7750 | |
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| No log | 7.0 | 84 | 0.8668 | 0.7250 | |
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| No log | 8.0 | 96 | 0.7217 | 0.8000 | |
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| No log | 9.0 | 108 | 0.7143 | 0.8250 | |
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| No log | 10.0 | 120 | 0.6371 | 0.8250 | |
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| No log | 11.0 | 132 | 0.6327 | 0.7250 | |
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| No log | 12.0 | 144 | 0.5974 | 0.75 | |
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| No log | 13.0 | 156 | 0.5160 | 0.8000 | |
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| No log | 14.0 | 168 | 0.5336 | 0.75 | |
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| No log | 15.0 | 180 | 0.5201 | 0.8000 | |
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| No log | 16.0 | 192 | 0.4121 | 0.8250 | |
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| No log | 17.0 | 204 | 0.4145 | 0.8000 | |
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| No log | 18.0 | 216 | 0.4475 | 0.875 | |
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| No log | 19.0 | 228 | 0.4147 | 0.8250 | |
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| No log | 20.0 | 240 | 0.3818 | 0.7750 | |
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| No log | 21.0 | 252 | 0.4136 | 0.75 | |
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| No log | 22.0 | 264 | 0.4364 | 0.75 | |
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| No log | 23.0 | 276 | 0.4180 | 0.7250 | |
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| No log | 24.0 | 288 | 0.4145 | 0.75 | |
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| No log | 25.0 | 300 | 0.4141 | 0.8000 | |
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| No log | 26.0 | 312 | 0.3948 | 0.8000 | |
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| No log | 27.0 | 324 | 0.3930 | 0.8250 | |
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| No log | 28.0 | 336 | 0.3851 | 0.8250 | |
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| No log | 29.0 | 348 | 0.3745 | 0.8250 | |
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| No log | 30.0 | 360 | 0.3741 | 0.8250 | |
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### Framework versions |
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- Transformers 4.37.2 |
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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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