learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 32
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: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	41	1.2919	0.4724	0.3031
1.3606	2.0	82	1.2506	0.4724	0.3070
1.3078	3.0	123	1.1353	0.4724	0.4184
1.1868	4.0	164	1.1391	0.5092	0.4586
1.1112	5.0	205	1.0539	0.5644	0.4994
1.1112	6.0	246	1.0078	0.6135	0.5637
1.1175	7.0	287	1.0021	0.6135	0.5666
1.0865	8.0	328	0.9713	0.6012	0.5337
1.0848	9.0	369	0.9830	0.6074	0.5492
1.0823	10.0	410	0.9797	0.6196	0.5679

Semhal2024/emotion-model11_3

emotion-model11_3