hubert-base-superb-er-3kfoldfull30finetuned-bmd-20250824_095232-LOSO-section-out1

This model is a fine-tuned version of superb/hubert-base-superb-er on an unknown dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

learning_rate: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 1968
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 30
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	3	1.1018	0.3333	0.1720
No log	2.0	6	1.0994	0.3333	0.1667
No log	3.0	9	1.0954	0.3333	0.1667
1.0992	4.0	12	1.0900	0.4583	0.3913
1.0992	5.0	15	1.0839	0.5417	0.4938
1.0992	6.0	18	1.0747	0.5833	0.5352
1.0849	7.0	21	1.0583	0.625	0.6029
1.0849	8.0	24	1.0298	0.5417	0.5222
1.0849	9.0	27	0.9999	0.5417	0.4444
1.0315	10.0	30	0.9593	0.625	0.5944
1.0315	11.0	33	0.9270	0.6667	0.6291
1.0315	12.0	36	0.9139	0.625	0.5560
1.0315	13.0	39	0.9164	0.5833	0.4722
0.9493	14.0	42	0.8959	0.5833	0.4722
0.9493	15.0	45	0.8589	0.625	0.5705
0.9493	16.0	48	0.8279	0.625	0.5017
0.8856	17.0	51	0.8905	0.5833	0.4722
0.8856	18.0	54	0.9607	0.5	0.3956
0.8856	19.0	57	0.8622	0.5833	0.4722
0.8357	20.0	60	0.7882	0.625	0.5017
0.8357	21.0	63	0.7648	0.7917	0.7778
0.8357	22.0	66	0.7725	0.625	0.5017
0.8357	23.0	69	0.7825	0.625	0.5017
0.7695	24.0	72	0.7875	0.6667	0.5910
0.7695	25.0	75	0.7869	0.6667	0.5910
0.7695	26.0	78	0.7837	0.6667	0.5910
0.7523	27.0	81	0.7673	0.625	0.5017
0.7523	28.0	84	0.7661	0.625	0.5017
0.7523	29.0	87	0.7668	0.625	0.5017
0.7329	30.0	90	0.7662	0.625	0.5017