| | --- |
| | license: apache-2.0 |
| | base_model: irfanamal/bert_multiple_choice |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: bert_science_multiple_choice |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # bert_science_multiple_choice |
| | |
| | This model is a fine-tuned version of [irfanamal/bert_multiple_choice](https://huggingface.co/irfanamal/bert_multiple_choice) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.3094 |
| | - Accuracy: 0.45 |
| | |
| | ## Model description |
| | |
| | More information needed |
| | |
| | ## Intended uses & limitations |
| | |
| | More information needed |
| | |
| | ## Training and evaluation data |
| | |
| | More information needed |
| | |
| | ## Training procedure |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - learning_rate: 5e-06 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 100 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 1.3327 | 1.0 | 12 | 1.2548 | 0.45 | |
| | | 1.2466 | 2.0 | 24 | 1.2430 | 0.45 | |
| | | 1.2218 | 3.0 | 36 | 1.2652 | 0.45 | |
| | | 1.074 | 4.0 | 48 | 1.2846 | 0.45 | |
| | | 1.0906 | 5.0 | 60 | 1.2903 | 0.45 | |
| | | 1.0141 | 6.0 | 72 | 1.3058 | 0.45 | |
| | | 0.997 | 7.0 | 84 | 1.3094 | 0.45 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.31.0 |
| | - Pytorch 2.0.1+cu117 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.13.3 |
| | |
