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
1.3854	1.0	59	1.3531	0.2650	0.1217
1.3249	2.0	118	1.2105	0.4316	0.3787
1.2311	3.0	177	1.1470	0.4744	0.4168
1.2046	4.0	236	1.0952	0.5427	0.5285
1.1725	5.0	295	1.0585	0.5128	0.4763
1.1276	6.0	354	1.0612	0.5940	0.5859
1.0786	7.0	413	1.0244	0.6026	0.5922
1.0536	8.0	472	0.9816	0.6410	0.6345
1.0409	9.0	531	0.9825	0.6325	0.6258
1.0719	10.0	590	0.9725	0.6410	0.6344

Semhal2024/emotion-model2_1

emotion-model2_1