whisper-tiny-finetuned-gtzan

thuyentruong/whisper-tiny-finetuned-gtzan

whisper-tiny-finetuned-gtzan is a audio classification model from thuyentruong. Use it for the audio classification task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Audio Classification
License: apache-2.0
Model type: whisper
Access: Public
Created: Aug 2, 2024
Updated: Aug 4, 2024
SHA: ed112708

Base models

openai/whisper-tiny

Datasets

marsyas/gtzan

Model card

From the Hugging Face model README

whisper-tiny-finetuned-gtzan

This model is a fine-tuned version of openai/whisper-tiny on the GTZAN dataset. It achieves the following results on the evaluation set:

Loss: 0.7650
Accuracy: 0.87

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.0205	0.3274	37	1.6041	0.41
1.3349	0.6549	74	0.9462	0.67
1.1646	0.9823	111	0.9334	0.72
0.8737	1.3097	148	0.8974	0.64
0.8703	1.6372	185	0.7014	0.78
0.811	1.9646	222	0.8678	0.7
0.6429	2.2920	259	0.9130	0.66
0.6366	2.6195	296	0.7061	0.78
0.5858	2.9469	333	0.5549	0.82
0.3959	3.2743	370	0.5577	0.82
0.3343	3.6018	407	0.6203	0.83
0.3358	3.9292	444	0.8755	0.76
0.2574	4.2566	481	0.7690	0.79
0.1799	4.5841	518	0.7350	0.85
0.212	4.9115	555	0.6767	0.84
0.1553	5.2389	592	0.7819	0.84
0.1065	5.5664	629	0.9823	0.83
0.1151	5.8938	666	0.7709	0.84
0.0107	6.2212	703	0.7156	0.88
0.0564	6.5487	740	0.7283	0.88
0.0501	6.8761	777	0.7763	0.87
0.0846	7.2035	814	0.8221	0.83
0.0372	7.5310	851	0.7526	0.87
0.0015	7.8584	888	0.7705	0.87
0.0209	8.1858	925	0.7020	0.86
0.0114	8.5133	962	0.8043	0.86
0.0011	8.8407	999	0.7608	0.88
0.0018	9.1681	1036	0.7623	0.88
0.0009	9.4956	1073	0.7708	0.87
0.0219	9.8230	1110	0.7650	0.87

Framework versions

Transformers 4.40.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Audio Classification
Type: whisper
License: apache-2.0
Created: Aug 2, 2024
Updated: Aug 4, 2024