| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: distilbert-base-uncased-distilled-squad |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: model |
| 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. --> |
|
|
| # model |
|
|
| This model is a fine-tuned version of [distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert-base-uncased-distilled-squad) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0000 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 20 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | No log | 1.0 | 2 | 1.5204 | |
| | No log | 2.0 | 4 | 0.1924 | |
| | No log | 3.0 | 6 | 0.0326 | |
| | No log | 4.0 | 8 | 0.0087 | |
| | No log | 5.0 | 10 | 0.0034 | |
| | No log | 6.0 | 12 | 0.0017 | |
| | No log | 7.0 | 14 | 0.0009 | |
| | No log | 8.0 | 16 | 0.0005 | |
| | No log | 9.0 | 18 | 0.0002 | |
| | No log | 10.0 | 20 | 0.0001 | |
| | No log | 11.0 | 22 | 0.0001 | |
| | No log | 12.0 | 24 | 0.0000 | |
| | No log | 13.0 | 26 | 0.0000 | |
| | No log | 14.0 | 28 | 0.0000 | |
| | No log | 15.0 | 30 | 0.0000 | |
| | No log | 16.0 | 32 | 0.0000 | |
| | No log | 17.0 | 34 | 0.0000 | |
| | No log | 18.0 | 36 | 0.0000 | |
| | No log | 19.0 | 38 | 0.0000 | |
| | No log | 20.0 | 40 | 0.0000 | |
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|
|
| ### Framework versions |
|
|
| - Transformers 4.45.2 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.0.1 |
| - Tokenizers 0.20.1 |
|
|
