right4-ast-finetuned-speech-commands-v2-poisoned

This model is a fine-tuned version of MIT/ast-finetuned-speech-commands-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.8907
• Accuracy: 0.7730

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: 22
• eval_batch_size: 22
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 88
• 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	0.86	3	7.0518	0.0
No log	2.0	7	2.9004	0.0099
6.0247	2.86	10	1.6879	0.2796
6.0247	4.0	14	0.9386	0.7599
6.0247	4.29	15	0.8907	0.7730

Framework versions

• Transformers 4.37.0
• Pytorch 2.1.2
• Datasets 2.16.1
• Tokenizers 0.15.1