learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	72	1.5446	0.5671	0.5671	0.5671	0.5366
No log	2.0	144	1.0001	0.6146	0.6367	0.6255	0.7876
No log	3.0	216	0.7811	0.6488	0.6493	0.6491	0.8160
No log	4.0	288	0.6540	0.7165	0.7315	0.7240	0.8648
No log	5.0	360	0.5871	0.7323	0.7366	0.7344	0.8725
No log	6.0	432	0.5591	0.7363	0.7424	0.7393	0.8719
0.966	7.0	504	0.5282	0.7454	0.7466	0.7460	0.8812
0.966	8.0	576	0.5095	0.7438	0.7525	0.7481	0.8792
0.966	9.0	648	0.4940	0.7444	0.7525	0.7484	0.8792
0.966	10.0	720	0.4923	0.7432	0.7525	0.7478	0.8802

benitezfj/langid-ner-xlm-v-base

langid-ner-xlm-v-base