This model is a fine-tuned version of juannmy400/my_awesome_wnut_model on the wnut_17 dataset. It achieves the following results on the evaluation set:

Loss: 0.2819
Precision: 0.5808
Recall: 0.3596
F1: 0.4442
Accuracy: 0.9458

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	213	0.2823	0.6334	0.3058	0.4125	0.9438
No log	2.0	426	0.2819	0.5808	0.3596	0.4442	0.9458
0.0792	3.0	639	0.2933	0.5256	0.3902	0.4479	0.9457
0.0792	4.0	852	0.3066	0.5080	0.4115	0.4547	0.9457
0.0295	5.0	1065	0.3095	0.5081	0.4059	0.4513	0.9448
0.0295	6.0	1278	0.3382	0.5341	0.4208	0.4707	0.9463
0.0295	7.0	1491	0.3547	0.5475	0.4115	0.4698	0.9469
0.0146	8.0	1704	0.3703	0.5645	0.3892	0.4608	0.9465
0.0146	9.0	1917	0.3635	0.5672	0.4106	0.4763	0.9472
0.0082	10.0	2130	0.3680	0.5727	0.4050	0.4745	0.9472

Framework versions

Transformers 4.51.3
Pytorch 2.7.0
Datasets 4.1.1
Tokenizers 0.21.1