zwellington/azahead-longformer-v1.1

Source: 🤗At risk🏴‍☠️ Rescued by: isilicontext-classificationapache-2.0598 MBother✓ 2 checksumsupdated 957d ago

azahead-longformer-v1.1

This model is a fine-tuned version of allenai/longformer-base-4096 on the azaheadhealth dataset. It achieves the following results on the evaluation set:

Loss: 0.4798
Accuracy: 0.875
F1: 0.8
Precision: 0.75
Recall: 0.8571

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: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.6565	1.0	20	0.5100	0.7083	0.0	0.0	0.0
0.4659	2.0	40	0.4061	0.7917	0.4444	1.0	0.2857
0.3536	3.0	60	0.4171	0.7917	0.5455	0.75	0.4286
0.2279	4.0	80	0.4798	0.875	0.8	0.75	0.8571
0.1154	5.0	100	0.5981	0.7917	0.5455	0.75	0.4286
0.0541	6.0	120	0.6664	0.8333	0.7143	0.7143	0.7143
0.037	7.0	140	0.7045	0.875	0.8	0.75	0.8571
0.0238	8.0	160	0.7787	0.8333	0.6667	0.8	0.5714
0.0082	9.0	180	0.7844	0.8333	0.6667	0.8	0.5714
0.0054	10.0	200	0.7835	0.7917	0.6154	0.6667	0.5714

Framework versions

Transformers 4.31.0
Pytorch 2.2.1+cu121
Datasets 2.16.1
Tokenizers 0.13.2