---
tags:
- generated_from_trainer
model-index:
- name: longformer-base-health-fact2
  results: []
---

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# longformer-base-health-fact2

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: 0.5858
- Micro F1: 0.8122
- Macro F1: 0.6830
- False F1: 0.7941
- Mixture F1: 0.5015
- True F1: 0.9234
- Unproven F1: 0.5128

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 18
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Micro F1 | Macro F1 | False F1 | Mixture F1 | True F1 | Unproven F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|:----------:|:-------:|:-----------:|
| 0.555         | 1.0   | 613  | 0.5243          | 0.7842   | 0.5535   | 0.7698   | 0.4170     | 0.8938  | 0.1333      |
| 0.4282        | 2.0   | 1226 | 0.5008          | 0.8031   | 0.6393   | 0.7829   | 0.4605     | 0.9199  | 0.3939      |
| 0.2897        | 3.0   | 1839 | 0.5858          | 0.8122   | 0.6830   | 0.7941   | 0.5015     | 0.9234  | 0.5128      |


### Framework versions

- Transformers 4.19.0.dev0
- Pytorch 1.11.0a0+17540c5
- Datasets 2.1.1.dev0
- Tokenizers 0.12.1