| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: facility-classifier |
| 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. --> |
|
|
| # facility-classifier |
|
|
| 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: 0.4422 |
| - Accuracy: 0.7872 |
| - F1: 0.7854 |
|
|
| ## Model description |
|
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| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| 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: 6 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 0.671 | 1.0 | 12 | 0.6529 | 0.6596 | 0.6441 | |
| | 0.5845 | 2.0 | 24 | 0.5722 | 0.7447 | 0.7461 | |
| | 0.4902 | 3.0 | 36 | 0.5091 | 0.7447 | 0.7461 | |
| | 0.378 | 4.0 | 48 | 0.4797 | 0.7660 | 0.7670 | |
| | 0.354 | 5.0 | 60 | 0.4487 | 0.8085 | 0.8029 | |
| | 0.2865 | 6.0 | 72 | 0.4422 | 0.7872 | 0.7854 | |
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| ### Framework versions |
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|
| - Transformers 4.18.0 |
| - Pytorch 1.10.0+cu111 |
| - Datasets 2.1.0 |
| - Tokenizers 0.12.1 |
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|
