| | --- |
| | base_model: yikuan8/Clinical-Longformer |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: 20231127_ClinicalLong_5ep_NewLabels |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # 20231127_ClinicalLong_5ep_NewLabels |
| | |
| | This model is a fine-tuned version of [yikuan8/Clinical-Longformer](https://huggingface.co/yikuan8/Clinical-Longformer) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.1204 |
| | - Accuracy: 0.76 |
| | |
| | ## Model description |
| | |
| | More information needed |
| | |
| | ## Intended uses & limitations |
| | |
| | More information needed |
| | |
| | ## Training and evaluation data |
| | |
| | More information needed |
| | |
| | ## Training procedure |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - learning_rate: 5e-05 |
| | - train_batch_size: 12 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 101 | 2.3747 | 0.35 | |
| | | No log | 2.0 | 202 | 1.6577 | 0.53 | |
| | | No log | 3.0 | 303 | 1.2947 | 0.67 | |
| | | No log | 4.0 | 404 | 1.1553 | 0.69 | |
| | | 1.344 | 5.0 | 505 | 1.1204 | 0.76 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.35.2 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.10.1 |
| | - Tokenizers 0.14.1 |
| |
|
