---
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
model-index:
- name: clinical_longformer_new_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_new_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: 2.6416

## 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: 56
- total_train_batch_size: 112
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.3605        | 0.31  | 50   | 3.7983          |
| 3.9502        | 0.62  | 100  | 3.4157          |
| 3.4719        | 0.93  | 150  | 3.2378          |
| 3.3937        | 1.24  | 200  | 3.0982          |
| 3.3123        | 1.56  | 250  | 3.0227          |
| 3.3164        | 1.87  | 300  | 2.9341          |
| 2.9789        | 2.18  | 350  | 2.8408          |
| 2.9593        | 2.49  | 400  | 2.8201          |
| 2.8724        | 2.8   | 450  | 2.7561          |
| 2.8753        | 3.11  | 500  | 2.7083          |
| 2.8017        | 3.42  | 550  | 2.6593          |
| 2.7496        | 3.73  | 600  | 2.6416          |


### Framework versions

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