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Parent(s): 31b01e4
End of training
Browse files- README.md +11 -2
- pytorch_model.bin +1 -1
README.md
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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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model-index:
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- name: Q2-PHQ
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results: []
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# Q2-PHQ
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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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## Model description
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 51 | 0.
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### Framework versions
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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: Q2-PHQ
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results: []
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# Q2-PHQ
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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: 0.4108
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- Accuracy: 0.79
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## Model description
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 51 | 0.3373 | 0.83 |
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| No log | 2.0 | 102 | 0.3360 | 0.7975 |
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| No log | 3.0 | 153 | 0.3572 | 0.79 |
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| No log | 4.0 | 204 | 0.3911 | 0.795 |
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| No log | 5.0 | 255 | 0.4108 | 0.79 |
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### Framework versions
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pytorch_model.bin
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size 267855978
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size 267855978
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