model2024-05-21

This model is a fine-tuned version of sravan-gorugantu/model2024-05-20 on the audiofolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.2042
• Accuracy: 0.9890

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.92	6	0.4721	0.9829
0.5325	2.0	13	0.3214	0.9890
0.5325	2.92	19	0.2483	0.9865
0.3277	4.0	26	0.2103	0.9890
0.2439	4.62	30	0.2042	0.9890

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.2+cu121
• Datasets 2.16.1
• Tokenizers 0.15.2