---
tags:
- generated_from_trainer
model-index:
- name: Clinical-Longformer-SurgicalCardiothoracic
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Clinical-Longformer-SurgicalCardiothoracic

This model is a fine-tuned version of [yikuan8/Clinical-Longformer](https://huggingface.co/yikuan8/Clinical-Longformer) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9943

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1515 | 1.1133          |
| No log        | 2.0   | 3030 | 1.0476          |
| No log        | 3.0   | 4545 | 1.0114          |
| No log        | 4.0   | 6060 | 0.9958          |
| No log        | 5.0   | 7575 | 0.9928          |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.8.0
- Datasets 2.2.2
- Tokenizers 0.11.6