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README.md
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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: 1.2694
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- Accuracy: 0.5
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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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| 1.4617 | 1.0 | 12 | 1.3188 | 0.45 |
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| 1.3762 | 2.0 | 24 | 1.3023 | 0.45 |
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| 1.3388 | 3.0 | 36 | 1.2553 | 0.45 |
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| 1.1977 | 4.0 | 48 | 1.2483 | 0.45 |
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| 1.1916 | 5.0 | 60 | 1.2497 | 0.45 |
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| 1.0839 | 6.0 | 72 | 1.2590 | 0.45 |
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| 1.1261 | 7.0 | 84 | 1.2594 | 0.45 |
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| 1.0073 | 8.0 | 96 | 1.2751 | 0.45 |
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| 1.0049 | 9.0 | 108 | 1.2694 | 0.5 |
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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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