learning_rate: 0.0001
train_batch_size: 16
eval_batch_size: 32
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: cosine
num_epochs: 2

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	0	0	1.5114	0.4432	0.4804	0.4432	0.4537
0.7931	0.2273	20	0.9312	0.6648	0.6848	0.6648	0.5784
0.7752	0.4545	40	0.9223	0.4886	0.7377	0.4886	0.4320
0.5251	0.6818	60	0.5346	0.6989	0.6940	0.6989	0.6659
0.5975	0.9091	80	0.5975	0.6534	0.7276	0.6534	0.6573
0.551	1.1364	100	0.5680	0.7273	0.7225	0.7273	0.7090
0.5093	1.3636	120	0.5872	0.7045	0.6952	0.7045	0.6951
0.5315	1.5909	140	0.5398	0.75	0.7593	0.75	0.7265
0.5231	1.8182	160	0.5264	0.7443	0.7422	0.7443	0.7282

AmirMohseni/router-mmBERT-small-text-only-v3

router-mmBERT-small-text-only-v3