| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: zooguide_bert_checkpoints |
| 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. --> |
|
|
| # zooguide_bert_checkpoints |
|
|
| 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: 0.0865 |
| - Accuracy: 0.9667 |
| - Macro F1: 0.9663 |
|
|
| ## 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: 3e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 7 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
| | 1.2682 | 1.0 | 132 | 0.2280 | 0.9689 | 0.9691 | |
| | 0.1257 | 2.0 | 264 | 0.1087 | 0.9689 | 0.9692 | |
| | 0.0717 | 3.0 | 396 | 0.0695 | 0.98 | 0.9798 | |
| | 0.0612 | 4.0 | 528 | 0.0621 | 0.9711 | 0.9711 | |
| | 0.0493 | 5.0 | 660 | 0.0580 | 0.9689 | 0.9691 | |
| | 0.0436 | 6.0 | 792 | 0.0607 | 0.9667 | 0.9669 | |
| | 0.0403 | 7.0 | 924 | 0.0628 | 0.96 | 0.9603 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
