---
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
model-index:
- name: clinical_longformer_same_tokens_30k
  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_30k

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: 1.9398

## 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: 16
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1500
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.333         | 0.12  | 65   | 2.4872          |
| 2.6244        | 0.23  | 130  | 2.3902          |
| 2.6084        | 0.35  | 195  | 2.2913          |
| 2.4782        | 0.46  | 260  | 2.1766          |
| 2.4194        | 0.58  | 325  | 2.1188          |
| 2.1494        | 0.69  | 390  | 2.0529          |
| 2.1218        | 0.81  | 455  | 1.9691          |
| 2.0447        | 0.92  | 520  | 1.9398          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1