my_forgetful_mind_model2

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

• Loss: 0.0529
• Accuracy: 0.9891

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: 11

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6716	0.9655	14	0.6144	0.6630
0.5768	2.0	29	0.2991	0.9304
0.2108	2.9655	43	0.2372	0.9130
0.2452	4.0	58	0.1582	0.9565
0.1006	4.9655	72	0.0831	0.9848
0.0773	6.0	87	0.1206	0.9696
0.0477	6.9655	101	0.0585	0.9913
0.0431	8.0	116	0.0643	0.9870
0.0303	8.9655	130	0.0526	0.9891
0.0336	10.0	145	0.0523	0.9891
0.0285	10.6207	154	0.0529	0.9891

Framework versions

• Transformers 4.41.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1