| --- |
| license: apache-2.0 |
| base_model: distilbert/distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: mental_classification |
| 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. --> |
|
|
| # mental_classification |
| |
| This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6424 |
| - Accuracy: 0.8623 |
| |
| ## 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: 14 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-------:|:----:|:---------------:|:--------:| |
| | 2.356 | 1.4046 | 184 | 1.6835 | 0.5908 | |
| | 1.2119 | 2.8092 | 368 | 1.1011 | 0.7648 | |
| | 0.6548 | 4.2137 | 552 | 0.8192 | 0.8241 | |
| | 0.3782 | 5.6183 | 736 | 0.6968 | 0.8375 | |
| | 0.1931 | 7.0229 | 920 | 0.6587 | 0.8528 | |
| | 0.1127 | 8.4275 | 1104 | 0.6390 | 0.8566 | |
| | 0.081 | 9.8321 | 1288 | 0.6382 | 0.8566 | |
| | 0.0532 | 11.2366 | 1472 | 0.6433 | 0.8623 | |
| | 0.0416 | 12.6412 | 1656 | 0.6424 | 0.8623 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.42.4 |
| - Pytorch 2.3.1+cu121 |
| - Datasets 2.21.0 |
| - Tokenizers 0.19.1 |
| |
