learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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: 20

Training Loss	Epoch	Step	Validation Loss	Accuracy Offensive	F1 Offensive	Accuracy Targeted	F1 Targeted	Accuracy Stance	F1 Stance
0.7254	1.0	1324	0.6149	0.6556	0.5204	0.6941	0.6005	0.7009	0.5777
0.4464	2.0	2648	0.3609	0.8376	0.8216	0.9290	0.9068	0.8727	0.8286
0.3741	3.0	3972	0.3068	0.8935	0.8878	0.9324	0.9102	0.8735	0.8308
0.3488	4.0	5296	0.2872	0.9124	0.9088	0.9332	0.9109	0.8761	0.8326
0.31	5.0	6620	0.2674	0.9362	0.9346	0.9369	0.9146	0.875	0.8337
0.3162	6.0	7944	0.2723	0.9320	0.9302	0.9354	0.9131	0.8758	0.8331
0.3172	7.0	9268	0.2606	0.9324	0.9306	0.9320	0.9098	0.8773	0.8339
0.2963	8.0	10592	0.2406	0.9452	0.9441	0.9392	0.9168	0.8784	0.8360
0.2856	9.0	11916	0.2465	0.9403	0.9390	0.9350	0.9128	0.8776	0.8348
0.2749	10.0	13240	0.2369	0.9460	0.9450	0.9373	0.9150	0.8784	0.8361
0.2736	11.0	14564	0.2419	0.9505	0.9497	0.9384	0.9161	0.8712	0.8304
0.2753	12.0	15888	0.2513	0.9494	0.9487	0.9347	0.9124	0.8663	0.8262

iTroned/noise_test_v1

noise_test_v1