| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: bert_interview_new |
| 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_interview_new |
|
|
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.6712 |
| - Accuracy: 0.3534 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 463 | 2.2196 | 0.3319 | |
| | 2.1608 | 2.0 | 926 | 2.1235 | 0.3534 | |
| | 1.816 | 3.0 | 1389 | 2.1393 | 0.3879 | |
| | 1.533 | 4.0 | 1852 | 2.1836 | 0.3578 | |
| | 1.2761 | 5.0 | 2315 | 2.2730 | 0.3664 | |
| | 1.122 | 6.0 | 2778 | 2.3939 | 0.3578 | |
| | 0.9403 | 7.0 | 3241 | 2.4908 | 0.3578 | |
| | 0.8317 | 8.0 | 3704 | 2.5671 | 0.3448 | |
| | 0.7571 | 9.0 | 4167 | 2.6484 | 0.3491 | |
| | 0.693 | 10.0 | 4630 | 2.6712 | 0.3534 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.47.1 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
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|
