End of training
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README.md
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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.
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- Accuracy: 0.
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- F1 Macro: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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| 0.
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| 0.2233 | 5.0 | 2305 | 0.5965 | 0.8079 | 0.7754 |
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### Framework versions
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.4057
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- Accuracy: 0.8387
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- F1 Macro: 0.8326
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## Model description
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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| 0.7293 | 1.0 | 907 | 0.4495 | 0.8206 | 0.8107 |
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| 0.377 | 2.0 | 1814 | 0.3867 | 0.8422 | 0.8389 |
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| 0.2841 | 3.0 | 2721 | 0.4231 | 0.8383 | 0.8324 |
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| 0.1976 | 4.0 | 3628 | 0.4991 | 0.8366 | 0.8304 |
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### Framework versions
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config.json
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"1": "Normal",
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"2": "Anxiety",
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"3": "Suicidal",
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"4": "Stress"
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"5": "Bipolar",
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"6": "Personality disorder"
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},
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"initializer_range": 0.02,
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"label2id": {
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"Anxiety": 2,
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"Bipolar": 5,
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"Depression": 0,
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"Normal": 1,
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"Personality disorder": 6,
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"Stress": 4,
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"Suicidal": 3
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},
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"1": "Normal",
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"2": "Anxiety",
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"3": "Suicidal",
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"4": "Stress"
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},
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"initializer_range": 0.02,
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"label2id": {
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"Anxiety": 2,
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"Depression": 0,
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"Normal": 1,
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"Stress": 4,
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"Suicidal": 3
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},
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model.safetensors
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