mood_box

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.5115
• Accuracy: 0.3802

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 3e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	4	1.6030	0.2231
No log	2.0	8	1.5976	0.3223
1.6018	3.0	12	1.5936	0.2893
1.6018	4.0	16	1.5849	0.2810
1.5765	5.0	20	1.5733	0.3636
1.5765	6.0	24	1.5557	0.3884
1.5765	7.0	28	1.5360	0.3719
1.5323	8.0	32	1.5246	0.3554
1.5323	9.0	36	1.5152	0.3719
1.4909	10.0	40	1.5115	0.3802

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2