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--- |
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license: apache-2.0 |
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base_model: irfanamal/distilbert_multiple_choice |
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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: distilbert_science_multiple_choice |
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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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# distilbert_science_multiple_choice |
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This model is a fine-tuned version of [irfanamal/distilbert_multiple_choice](https://huggingface.co/irfanamal/distilbert_multiple_choice) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5628 |
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- Accuracy: 0.4 |
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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: 5e-06 |
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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: 100 |
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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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| 1.4753 | 1.0 | 12 | 1.4752 | 0.4 | |
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| 1.3861 | 2.0 | 24 | 1.4672 | 0.4 | |
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| 1.3169 | 3.0 | 36 | 1.4031 | 0.45 | |
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| 1.2006 | 4.0 | 48 | 1.4479 | 0.4 | |
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| 1.1849 | 5.0 | 60 | 1.4765 | 0.4 | |
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| 1.1181 | 6.0 | 72 | 1.4869 | 0.4 | |
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| 1.0861 | 7.0 | 84 | 1.4524 | 0.4 | |
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| 1.0234 | 8.0 | 96 | 1.5183 | 0.35 | |
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| 0.9677 | 9.0 | 108 | 1.4981 | 0.35 | |
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| 0.9281 | 10.0 | 120 | 1.5195 | 0.4 | |
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| 0.919 | 11.0 | 132 | 1.5218 | 0.4 | |
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| 0.8673 | 12.0 | 144 | 1.5395 | 0.4 | |
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| 0.8 | 13.0 | 156 | 1.5628 | 0.4 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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