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---
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tags:
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- generated_from_trainer
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model-index:
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- name: longformer-base-health-fact2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# longformer-base-health-fact2
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This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5858
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- Micro F1: 0.8122
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- Macro F1: 0.6830
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- False F1: 0.7941
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- Mixture F1: 0.5015
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- True F1: 0.9234
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- Unproven F1: 0.5128
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 16
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- eval_batch_size: 32
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- seed: 18
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Micro F1 | Macro F1 | False F1 | Mixture F1 | True F1 | Unproven F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|:----------:|:-------:|:-----------:|
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| 0.555 | 1.0 | 613 | 0.5243 | 0.7842 | 0.5535 | 0.7698 | 0.4170 | 0.8938 | 0.1333 |
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| 0.4282 | 2.0 | 1226 | 0.5008 | 0.8031 | 0.6393 | 0.7829 | 0.4605 | 0.9199 | 0.3939 |
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| 0.2897 | 3.0 | 1839 | 0.5858 | 0.8122 | 0.6830 | 0.7941 | 0.5015 | 0.9234 | 0.5128 |
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### Framework versions
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- Transformers 4.19.0.dev0
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- Pytorch 1.11.0a0+17540c5
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- Datasets 2.1.1.dev0
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- Tokenizers 0.12.1
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