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--- |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: mental_health_model |
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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_model |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6560 |
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- Accuracy: 0.7250 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | Validation Loss | |
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|:-------------:|:-----:|:----:|:--------:|:---------------:| |
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| No log | 1.0 | 270 | 0.6665 | 0.7627 | |
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| 0.6949 | 2.0 | 540 | 0.6968 | 0.6960 | |
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| 0.6949 | 3.0 | 810 | 0.7038 | 0.6750 | |
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| 0.5696 | 4.0 | 1080 | 0.7185 | 0.6674 | |
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| 0.5696 | 5.0 | 1350 | 0.7136 | 0.6607 | |
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| 0.49 | 6.0 | 1620 | 0.7206 | 0.6531 | |
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| 0.49 | 7.0 | 1890 | 0.7228 | 0.6543 | |
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| 0.4287 | 8.0 | 2160 | 0.6560 | 0.7250 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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