| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - squad |
| model-index: |
| - name: single_label_N_max_long_training |
| 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. --> |
|
|
| # single_label_N_max_long_training |
| |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.8288 |
| |
| ## 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: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.0568 | 1.0 | 674 | 1.9993 | |
| | 1.6024 | 2.0 | 1348 | 1.8497 | |
| | 1.0196 | 3.0 | 2022 | 1.9178 | |
| | 0.7622 | 4.0 | 2696 | 2.0412 | |
| | 0.6066 | 5.0 | 3370 | 2.2523 | |
| | 0.4136 | 6.0 | 4044 | 2.3845 | |
| | 0.3113 | 7.0 | 4718 | 2.5712 | |
| | 0.2777 | 8.0 | 5392 | 2.6790 | |
| | 0.208 | 9.0 | 6066 | 2.7464 | |
| | 0.1749 | 10.0 | 6740 | 2.8288 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.18.0 |
| - Pytorch 1.11.0+cu113 |
| - Datasets 2.2.1 |
| - Tokenizers 0.12.1 |
| |
