| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: mrm8488/electra-small-finetuned-squadv2 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: electra_interview_duplicated |
| 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. --> |
|
|
| # electra_interview_duplicated |
|
|
| This model is a fine-tuned version of [mrm8488/electra-small-finetuned-squadv2](https://huggingface.co/mrm8488/electra-small-finetuned-squadv2) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.2204 |
| - Accuracy: 0.3581 |
|
|
| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
|
|
| ## Training and evaluation data |
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| More information needed |
|
|
| ## Training procedure |
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 2.5854 | 1.0 | 2121 | 2.5418 | 0.2014 | |
| | 2.4462 | 2.0 | 4242 | 2.4187 | 0.2898 | |
| | 2.3656 | 3.0 | 6363 | 2.3080 | 0.3204 | |
| | 2.2985 | 4.0 | 8484 | 2.2448 | 0.3298 | |
| | 2.2479 | 5.0 | 10605 | 2.2204 | 0.3581 | |
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| ### Framework versions |
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| - Transformers 4.44.2 |
| - Pytorch 2.5.0+cu121 |
| - Datasets 3.0.2 |
| - Tokenizers 0.19.1 |
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