learning_rate: 5e-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
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
0.1876	1.0	165	0.0480	0.7475	0.8411	0.7916
0.0362	2.0	330	0.0432	0.8196	0.8748	0.8463
0.0205	3.0	495	0.0458	0.8757	0.8692	0.8724
0.0135	4.0	660	0.0426	0.8427	0.9215	0.8804
0.0076	5.0	825	0.0504	0.8446	0.9140	0.8779
0.0034	6.0	990	0.0617	0.8720	0.8785	0.8752
0.0024	7.0	1155	0.0639	0.8929	0.8729	0.8828
0.0012	8.0	1320	0.0640	0.8486	0.9327	0.8887
0.0007	9.0	1485	0.0679	0.8522	0.9159	0.8829
0.0006	10.0	1650	0.0685	0.8559	0.9103	0.8822

sofibrezden/anim-ner

anim-ner