| --- |
| license: apache-2.0 |
| base_model: distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: results |
| 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. --> |
|
|
| # results |
|
|
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5475 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - training_steps: 2000 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.6338 | 0.07 | 100 | 0.5837 | |
| | 0.5848 | 0.14 | 200 | 0.5759 | |
| | 0.5692 | 0.21 | 300 | 0.5717 | |
| | 0.5649 | 0.28 | 400 | 0.5683 | |
| | 0.5585 | 0.35 | 500 | 0.5711 | |
| | 0.5658 | 0.41 | 600 | 0.5678 | |
| | 0.5639 | 0.48 | 700 | 0.5551 | |
| | 0.5579 | 0.55 | 800 | 0.5652 | |
| | 0.5641 | 0.62 | 900 | 0.5569 | |
| | 0.5574 | 0.69 | 1000 | 0.5562 | |
| | 0.5487 | 0.76 | 1100 | 0.5595 | |
| | 0.5547 | 0.83 | 1200 | 0.5536 | |
| | 0.5719 | 0.9 | 1300 | 0.5498 | |
| | 0.57 | 0.97 | 1400 | 0.5493 | |
| | 0.5451 | 1.04 | 1500 | 0.5536 | |
| | 0.537 | 1.1 | 1600 | 0.5502 | |
| | 0.5524 | 1.17 | 1700 | 0.5510 | |
| | 0.5397 | 1.24 | 1800 | 0.5502 | |
| | 0.538 | 1.31 | 1900 | 0.5476 | |
| | 0.5341 | 1.38 | 2000 | 0.5475 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.38.2 |
| - Pytorch 2.2.1+cu121 |
| - Tokenizers 0.15.2 |
| |
