learning_rate: 3e-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 3
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: 50

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
2.3159	1.0	871	0.7036	0.8668	0.8807	0.8526	0.8620
1.7723	2.0	1742	0.8122	0.8897	0.9045	0.8675	0.8799
1.3618	3.0	2613	0.5902	0.9142	0.9024	0.9075	0.9046
1.1381	4.0	3484	0.7065	0.9188	0.9186	0.9003	0.9073
0.8802	5.0	4355	0.6828	0.9142	0.9068	0.8988	0.9019
0.6756	6.0	5226	0.7222	0.9219	0.9184	0.9107	0.9139
0.5417	7.0	6097	0.8736	0.9142	0.9209	0.8913	0.9032
0.5264	8.0	6968	0.8819	0.9035	0.8958	0.8927	0.8933
0.3627	9.0	7839	0.8570	0.9112	0.9013	0.9062	0.9037
0.3268	10.0	8710	0.8700	0.9204	0.9118	0.9161	0.9129
0.2345	11.0	9581	0.8820	0.9173	0.9090	0.9128	0.9095
0.1973	12.0	10452	0.9124	0.9219	0.9193	0.9088	0.9134
0.1236	13.0	11323	0.8879	0.9234	0.9164	0.9276	0.9192
0.1205	14.0	12194	1.0422	0.9066	0.9001	0.8869	0.8925
0.1324	15.0	13065	0.9978	0.9158	0.9070	0.9065	0.9063
0.0975	16.0	13936	1.0231	0.9142	0.9124	0.8972	0.9035
0.0793	17.0	14807	1.0438	0.9112	0.9077	0.8898	0.8965
0.1142	18.0	15678	1.0160	0.9142	0.9071	0.9170	0.9094

abdiharyadi/deberta-v3-large-ft-icar-a-v0.11

deberta-v3-large-ft-icar-a-v0.11