learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
lr_scheduler_warmup_steps: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	F1	Precision	Recall
0.5866	0.32	200	0.2772	0.7188	0.6785	0.7640
0.4701	0.64	400	0.2204	0.7867	0.7535	0.8230
0.4275	0.96	600	0.1895	0.8191	0.7932	0.8467
0.3282	1.28	800	0.1970	0.8339	0.8155	0.8531
0.2545	1.6	1000	0.1765	0.8553	0.8427	0.8684
0.2703	1.92	1200	0.1528	0.8626	0.8512	0.8744
0.1658	2.24	1400	0.1862	0.8610	0.8476	0.8748
0.1571	2.56	1600	0.1882	0.8617	0.8464	0.8776
0.1604	2.88	1800	0.1715	0.8760	0.8638	0.8884
0.0633	3.2	2000	0.2327	0.8656	0.8443	0.8880
0.0925	3.52	2200	0.2032	0.8757	0.8641	0.8876
0.0730	3.84	2400	0.2121	0.8730	0.8596	0.8868

masterkristall/rumodernbert_ner_ft

rumodernbert_ner_ft