learning_rate: 5e-05
train_batch_size: 32
eval_batch_size: 8
seed: 13
gradient_accumulation_steps: 8
total_train_batch_size: 256
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
num_epochs: 8

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Auc
No log	1.0	141	0.4441	0.8012	0.7428	0.9861	0.8473	0.8880
No log	2.0	282	0.3568	0.8042	0.7453	0.9875	0.8495	0.8905
No log	3.0	423	0.3691	0.8052	0.7444	0.9926	0.8508	0.8922
0.4062	4.0	564	0.3701	0.8054	0.7440	0.9942	0.8511	0.8908
0.4062	5.0	705	0.3925	0.8051	0.7436	0.9944	0.8509	0.8915
0.4062	6.0	846	0.3891	0.8056	0.7498	0.9793	0.8493	0.8921
0.4062	7.0	987	0.3860	0.8070	0.7573	0.9638	0.8482	0.8943
0.3208	8.0	1128	0.3909	0.8073	0.7603	0.9575	0.8475	0.8939

reichenbach/deberta_toxic_cls

deberta_toxic_cls