| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: demo_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. --> |
|
|
| # demo_model |
| |
| 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: 0.3071 |
| - Accuracy: 0.9556 |
| |
| ## 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 | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 0.2576 | 1.0 | 4298 | 0.2377 | 0.9363 | |
| | 0.1865 | 2.0 | 8596 | 0.2192 | 0.9463 | |
| | 0.1306 | 3.0 | 12894 | 0.2071 | 0.9525 | |
| | 0.0954 | 4.0 | 17192 | 0.2278 | 0.9522 | |
| | 0.0734 | 5.0 | 21490 | 0.2453 | 0.9534 | |
| | 0.0568 | 6.0 | 25788 | 0.2612 | 0.9541 | |
| | 0.0427 | 7.0 | 30086 | 0.2736 | 0.9567 | |
| | 0.0332 | 8.0 | 34384 | 0.2861 | 0.9559 | |
| | 0.0296 | 9.0 | 38682 | 0.3014 | 0.9552 | |
| | 0.0198 | 10.0 | 42980 | 0.3071 | 0.9556 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.28.0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.4 |
| - Tokenizers 0.13.3 |
| |
