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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: mrm8488/electra-small-finetuned-squadv2 |
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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: electra_interview_new |
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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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# electra_interview_new |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2978 |
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- Accuracy: 0.2716 |
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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: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- optimizer: Use adamw_torch 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 463 | 2.6395 | 0.1983 | |
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| 2.7859 | 2.0 | 926 | 2.5260 | 0.1983 | |
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| 2.5604 | 3.0 | 1389 | 2.4446 | 0.2241 | |
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| 2.4612 | 4.0 | 1852 | 2.3737 | 0.3103 | |
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| 2.2886 | 5.0 | 2315 | 2.3307 | 0.3276 | |
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| 2.1381 | 6.0 | 2778 | 2.3076 | 0.3017 | |
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| 1.9905 | 7.0 | 3241 | 2.3089 | 0.2931 | |
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| 1.8363 | 8.0 | 3704 | 2.2939 | 0.2845 | |
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| 1.7738 | 9.0 | 4167 | 2.3060 | 0.2802 | |
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| 1.6807 | 10.0 | 4630 | 2.2978 | 0.2716 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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