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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: google-bert/bert-base-uncased
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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: multiple_choice_model
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+ results: []
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+ ---
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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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+
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+ # multiple_choice_model
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+
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+ This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.0560
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+ - Accuracy: 0.751
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.9281 | 1.0 | 563 | 0.7698 | 0.723 |
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+ | 0.4148 | 2.0 | 1126 | 0.8325 | 0.726 |
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+ | 0.2001 | 3.0 | 1689 | 1.4160 | 0.712 |
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+ | 0.1073 | 4.0 | 2252 | 1.4036 | 0.726 |
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+ | 0.0671 | 5.0 | 2815 | 1.8364 | 0.735 |
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+ | 0.0386 | 6.0 | 3378 | 1.8075 | 0.739 |
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+ | 0.019 | 7.0 | 3941 | 1.9959 | 0.748 |
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+ | 0.0054 | 8.0 | 4504 | 2.0279 | 0.753 |
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+ | 0.0016 | 9.0 | 5067 | 2.0335 | 0.752 |
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+ | 0.0021 | 10.0 | 5630 | 2.0560 | 0.751 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.54.0
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+ - Pytorch 2.11.0+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.4
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