| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: gokulan006/Suicidal-Risk-Analysis-distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: Suicidal-Risk-Analysis-DistilBert-base-uncased |
| 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. --> |
|
|
| # Suicidal-Risk-Analysis-DistilBert-base-uncased |
|
|
| This model is a fine-tuned version of [gokulan006/Suicidal-Risk-Analysis-distilbert-base-uncased](https://huggingface.co/gokulan006/Suicidal-Risk-Analysis-distilbert-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5168 |
| - Accuracy: 0.8384 |
|
|
| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
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| ## Training and evaluation data |
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| More information needed |
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| ## Training procedure |
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 0.0001 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.4205 | 1.0 | 659 | 0.3784 | 0.8346 | |
| | 0.2791 | 2.0 | 1318 | 0.3904 | 0.8456 | |
| | 0.1506 | 3.0 | 1977 | 0.5168 | 0.8384 | |
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| ### Framework versions |
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|
| - Transformers 4.48.3 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.3.2 |
| - Tokenizers 0.21.0 |
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