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---
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tags:
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- generated_from_trainer
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model-index:
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- name: Clinical-Longformer-SurgicalCardiothoracic
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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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# Clinical-Longformer-SurgicalCardiothoracic
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This model is a fine-tuned version of [yikuan8/Clinical-Longformer](https://huggingface.co/yikuan8/Clinical-Longformer) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9943
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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: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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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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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 1515 | 1.1133 |
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| No log | 2.0 | 3030 | 1.0476 |
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| No log | 3.0 | 4545 | 1.0114 |
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| No log | 4.0 | 6060 | 0.9958 |
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| No log | 5.0 | 7575 | 0.9928 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.8.0
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- Datasets 2.2.2
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- Tokenizers 0.11.6
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