metadata
tags:
- generated_from_trainer
model-index:
- name: longformer-base-health-fact2
results: []
longformer-base-health-fact2
This model is a fine-tuned version of 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