learning_rate: 5e-05
train_batch_size: 32
eval_batch_size: 32
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: 15

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
No log	1.0	54	0.3302	0.0	0.0	0.0
No log	2.0	108	0.3255	0.0	0.0	0.0
No log	3.0	162	0.1749	0.2513	0.3489	0.2922
No log	4.0	216	0.0689	0.6692	0.7637	0.7134
No log	5.0	270	0.0610	0.7266	0.7776	0.7512
No log	6.0	324	0.0583	0.7556	0.7915	0.7731
No log	7.0	378	0.0585	0.7658	0.7988	0.7820
No log	8.0	432	0.0683	0.7043	0.8069	0.7521
No log	9.0	486	0.0698	0.7442	0.8171	0.7789
0.1553	10.0	540	0.0675	0.7409	0.8178	0.7775
0.1553	11.0	594	0.0689	0.7526	0.7835	0.7677
0.1553	12.0	648	0.0714	0.7372	0.7981	0.7664
0.1553	13.0	702	0.0717	0.7517	0.8018	0.7759
0.1553	14.0	756	0.0765	0.7606	0.8018	0.7806
0.1553	15.0	810	0.0769	0.7559	0.7996	0.7771

xaviergillard/brabrant-xvii-ner

brabrant-xvii-ner