learning_rate: 2e-05
train_batch_size: 32
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
lr_scheduler_warmup_steps: 100
num_epochs: 15
label_smoothing_factor: 0.1

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.6587	1.0	99	0.6552	0.6449	0.7841	0.6449	1.0
0.6064	2.0	198	0.6186	0.6449	0.7841	0.6449	1.0
0.5215	3.0	297	0.5066	0.7273	0.8242	0.7053	0.9912
0.3803	4.0	396	0.3633	0.9119	0.9303	0.9495	0.9119
0.3295	5.0	495	0.3186	0.9446	0.9563	0.9727	0.9405
0.3117	6.0	594	0.2977	0.9489	0.9599	0.9707	0.9493
0.2834	7.0	693	0.2929	0.9489	0.9593	0.9860	0.9339
0.2873	8.0	792	0.2828	0.9531	0.9629	0.9839	0.9427
0.2751	9.0	891	0.2774	0.9545	0.9642	0.9795	0.9493
0.2660	10.0	990	0.2735	0.9588	0.9675	0.9841	0.9515
0.2735	11.0	1089	0.2707	0.9631	0.9710	0.9842	0.9581
0.2546	12.0	1188	0.2663	0.9673	0.9745	0.9821	0.9670
0.2652	13.0	1287	0.2678	0.9645	0.9721	0.9864	0.9581
0.2598	14.0	1386	0.2670	0.9659	0.9732	0.9864	0.9604

Nirij3m/roberta-synth-vishing

roberta-synth-vishing