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--- |
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license: cc-by-nc-4.0 |
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base_model: mental/mental-bert-base-uncased |
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tags: |
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- mental health |
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- mental disorders |
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- healthcare |
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- medical |
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model-index: |
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- name: mental_bert |
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results: [] |
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widget: |
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- text: "The person suffers from extreme emotional fluctuations, sudden mood [MASK] and exaggerated reactions" |
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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_bert |
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This model is a fine-tuned version of [mental/mental-bert-base-uncased](https://huggingface.co/mental/mental-bert-base-uncased) on [hackathon-somos-nlp-2023/DiagTrast](https://huggingface.co/datasets/hackathon-somos-nlp-2023/DiagTrast). |
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It achieves the following results on the evaluation and test sets: |
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- Evaluation Loss: 0.9179 |
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- Test Loss: 0.9831 |
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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: 0.0005 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 2000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.4138 | 6.25 | 100 | 1.1695 | |
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| 1.0912 | 12.5 | 200 | 1.1862 | |
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| 0.8699 | 18.75 | 300 | 0.9926 | |
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| 0.7713 | 25.0 | 400 | 1.0570 | |
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| 0.6655 | 31.25 | 500 | 1.0891 | |
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| 0.6127 | 37.5 | 600 | 1.0389 | |
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| 0.5461 | 43.75 | 700 | 0.9947 | |
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| 0.5167 | 50.0 | 800 | 1.0043 | |
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| 0.45 | 56.25 | 900 | 0.9688 | |
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| 0.436 | 62.5 | 1000 | 0.9482 | |
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| 0.3896 | 68.75 | 1100 | 1.0424 | |
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| 0.3624 | 75.0 | 1200 | 0.9242 | |
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| 0.3821 | 81.25 | 1300 | 1.0748 | |
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| 0.3156 | 87.5 | 1400 | 1.0121 | |
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| 0.3099 | 93.75 | 1500 | 0.9404 | |
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| 0.2829 | 100.0 | 1600 | 0.8997 | |
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| 0.2712 | 106.25 | 1700 | 0.8902 | |
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| 0.2596 | 112.5 | 1800 | 0.9054 | |
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| 0.2622 | 118.75 | 1900 | 1.0317 | |
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| 0.2631 | 125.0 | 2000 | 0.9179 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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