learning_rate: 0.0002
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Use 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: 7
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	0.4979	117	0.3960	0.2073	0.3370	0.2567	0.8704
No log	0.9957	234	0.1945	0.4331	0.6111	0.5069	0.9321
No log	1.4936	351	0.1142	0.6375	0.7556	0.6915	0.9554
No log	1.9915	468	0.0943	0.6603	0.7630	0.7079	0.9644
0.4252	2.4894	585	0.0852	0.7092	0.8037	0.7535	0.9677
0.4252	2.9872	702	0.0897	0.6926	0.7926	0.7392	0.9669
0.4252	3.4851	819	0.0949	0.7838	0.8593	0.8198	0.9747
0.4252	3.9830	936	0.0803	0.8140	0.8593	0.8360	0.9753
0.0446	4.4809	1053	0.1163	0.7441	0.8185	0.7795	0.9705
0.0446	4.9787	1170	0.1178	0.7690	0.8259	0.7964	0.9714
0.0446	5.4766	1287	0.1559	0.7736	0.8481	0.8092	0.9731
0.0446	5.9745	1404	0.1551	0.7416	0.8185	0.7782	0.9694
0.0123	6.4723	1521	0.2088	0.7363	0.7963	0.7651	0.9646
0.0123	6.9702	1638	0.2102	0.7491	0.8074	0.7772	0.9675

MikeDoes/eurobert-ner-model-20250726-134739

eurobert-ner-model-20250726-134739