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--- |
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license: apache-2.0 |
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base_model: bert-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: Symptoms_to_Diagnosis_SonatafyAI_BERT_v1 |
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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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# Symptoms_to_Diagnosis_SonatafyAI_BERT_v1 |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6203 |
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- Accuracy: 0.9198 |
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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: 10 |
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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 | 54 | 2.7261 | 0.2123 | |
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| No log | 2.0 | 108 | 2.2144 | 0.5283 | |
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| No log | 3.0 | 162 | 1.7385 | 0.6698 | |
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| No log | 4.0 | 216 | 1.3686 | 0.7925 | |
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| No log | 5.0 | 270 | 1.1194 | 0.8302 | |
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| No log | 6.0 | 324 | 0.9123 | 0.8632 | |
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| No log | 7.0 | 378 | 0.7822 | 0.9009 | |
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| No log | 8.0 | 432 | 0.6871 | 0.9009 | |
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| No log | 9.0 | 486 | 0.6415 | 0.9104 | |
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| 1.4504 | 10.0 | 540 | 0.6203 | 0.9198 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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