---
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
model-index:
- name: clinical_longformer_same_tokens
  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. -->

# clinical_longformer_same_tokens

This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7059

## 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: 2
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1500
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.4747        | 0.36  | 4    | 4.0650          |
| 3.6551        | 0.71  | 8    | 4.6086          |
| 3.6023        | 1.07  | 12   | 3.2223          |
| 4.1356        | 1.42  | 16   | 4.3734          |
| 3.5103        | 1.78  | 20   | 3.4911          |
| 3.8186        | 2.13  | 24   | 4.5828          |
| 3.5699        | 2.49  | 28   | 3.9042          |
| 3.9307        | 2.84  | 32   | 3.8804          |
| 3.4662        | 3.2   | 36   | 3.8901          |
| 4.0907        | 3.56  | 40   | 4.0173          |
| 3.7467        | 3.91  | 44   | 3.7059          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1