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--- |
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base_model: yikuan8/Clinical-Longformer |
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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: 20231127_ClinicalLong_5ep_NewLabels |
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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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# 20231127_ClinicalLong_5ep_NewLabels |
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This model is a fine-tuned version of [yikuan8/Clinical-Longformer](https://huggingface.co/yikuan8/Clinical-Longformer) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1204 |
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- Accuracy: 0.76 |
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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: 5e-05 |
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- train_batch_size: 12 |
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- eval_batch_size: 32 |
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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_steps: 500 |
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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 | 101 | 2.3747 | 0.35 | |
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| No log | 2.0 | 202 | 1.6577 | 0.53 | |
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| No log | 3.0 | 303 | 1.2947 | 0.67 | |
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| No log | 4.0 | 404 | 1.1553 | 0.69 | |
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| 1.344 | 5.0 | 505 | 1.1204 | 0.76 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.10.1 |
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- Tokenizers 0.14.1 |
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