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	1.3676	0.3129	0.1491
1.3399	2.0	82	1.2677	0.3129	0.1505
1.247	3.0	123	1.1853	0.3926	0.3509
1.1817	4.0	164	1.1578	0.4540	0.3253
1.1047	5.0	205	1.1288	0.5031	0.4425
1.1047	6.0	246	1.0909	0.5153	0.4554
1.0967	7.0	287	1.1050	0.5215	0.4572
1.0847	8.0	328	1.0485	0.5460	0.4875
1.0575	9.0	369	1.0625	0.5583	0.4940
1.0467	10.0	410	1.0561	0.5521	0.4881

Semhal2024/emotion-model11_4

emotion-model11_4