| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - massive |
| metrics: |
| - accuracy |
| model-index: |
| - name: bert-uncased-massive-intent-classification |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: massive |
| type: massive |
| config: en-US |
| split: train |
| args: en-US |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.8853910477127398 |
| --- |
| |
| <!-- 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. --> |
|
|
| # bert-uncased-massive-intent-classification |
|
|
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the massive dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.8396 |
| - Accuracy: 0.8854 |
|
|
| ## 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: 16 |
| - seed: 33 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 15 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 1.4984 | 1.0 | 720 | 0.6402 | 0.8495 | |
| | 0.4376 | 2.0 | 1440 | 0.5394 | 0.8731 | |
| | 0.2318 | 3.0 | 2160 | 0.5903 | 0.8760 | |
| | 0.1414 | 4.0 | 2880 | 0.6221 | 0.8805 | |
| | 0.087 | 5.0 | 3600 | 0.7072 | 0.8819 | |
| | 0.0622 | 6.0 | 4320 | 0.7121 | 0.8819 | |
| | 0.036 | 7.0 | 5040 | 0.7750 | 0.8805 | |
| | 0.0234 | 8.0 | 5760 | 0.7767 | 0.8834 | |
| | 0.0157 | 9.0 | 6480 | 0.8243 | 0.8805 | |
| | 0.0122 | 10.0 | 7200 | 0.8198 | 0.8839 | |
| | 0.0092 | 11.0 | 7920 | 0.8105 | 0.8849 | |
| | 0.0047 | 12.0 | 8640 | 0.8561 | 0.8844 | |
| | 0.0038 | 13.0 | 9360 | 0.8367 | 0.8815 | |
| | 0.0029 | 14.0 | 10080 | 0.8396 | 0.8854 | |
| | 0.0014 | 15.0 | 10800 | 0.8410 | 0.8849 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.22.1 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 2.4.0 |
| - Tokenizers 0.12.1 |
|
|
