audio_cls_unispeech-sat-base-100h-libri-ft_minds14_finetune

This model is a fine-tuned version of microsoft/unispeech-sat-base-100h-libri-ft on the minds14 dataset. It achieves the following results on the evaluation set:

• Loss: 2.6384
• Accuracy: 0.0708

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: 64
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 256
• 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	2	2.6385	0.0442
No log	2.0	4	2.6385	0.0796
No log	3.0	6	2.6386	0.0619
No log	4.0	8	2.6375	0.0531
2.64	5.0	10	2.6372	0.0619
2.64	6.0	12	2.6376	0.0708
2.64	7.0	14	2.6379	0.0708
2.64	8.0	16	2.6381	0.0708
2.64	9.0	18	2.6384	0.0708
2.638	10.0	20	2.6384	0.0708

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3