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--- |
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library_name: transformers |
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license: mit |
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base_model: FacebookAI/roberta-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: Mental-Health-RoBERTa |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Mental-Health-RoBERTa |
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This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an Mental Health Issues detection dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3713 |
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- F1: 0.8578 |
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- Acc: 0.8573 |
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## 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: |
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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Acc | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 0.5312 | 1.0 | 1255 | 0.4397 | 0.8295 | 0.8287 | |
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| 0.3378 | 2.0 | 2510 | 0.3662 | 0.8535 | 0.8534 | |
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| 0.262 | 3.0 | 3765 | 0.3713 | 0.8578 | 0.8573 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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### Labels |
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'Normal':0,'Depression':1,'Suicidal':2,'Anxiety':3,'Bipolar':4,'Stress':5,'Personality disorder':6 |
