wav2vec2-base-random-stop-classification-2

suyuanliu/wav2vec2-base-random-stop-classification-2

wav2vec2-base-random-stop-classification-2 is a audio classification model from suyuanliu. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers.

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

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At a glance

Task: Audio Classification
Library: transformers
Model type: wav2vec2
Access: Public
Created: Apr 16, 2023
Updated: Apr 16, 2023
SHA: 4c19e8cf

Datasets

audiofolder

Model card

From the Hugging Face model README

wav2vec2-base-random-stop-classification-2

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

Loss: 0.4265
Accuracy: 0.8569

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: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6925	0.99	18	0.6506	0.6049
0.6667	1.97	36	0.6474	0.6396
0.5762	2.96	54	0.5791	0.7670
0.559	4.0	73	0.4603	0.7963
0.4892	4.99	91	0.4248	0.8161
0.4853	5.97	109	0.4544	0.8113
0.4452	6.96	127	0.5181	0.8011
0.4747	8.0	146	0.3739	0.8454
0.4026	8.99	164	0.4483	0.8249
0.4326	9.97	182	0.3992	0.8447
0.4149	10.96	200	0.3607	0.8542
0.3995	12.0	219	0.4662	0.8256
0.36	12.99	237	0.4375	0.8495
0.3807	13.97	255	0.4013	0.8351
0.401	14.96	273	0.4875	0.8311
0.3349	16.0	292	0.3810	0.8610
0.3279	16.99	310	0.4288	0.8392
0.3111	17.97	328	0.4160	0.8460
0.3092	18.96	346	0.4469	0.8379
0.3202	20.0	365	0.4294	0.8563
0.3027	20.99	383	0.3928	0.8569
0.3022	21.97	401	0.4829	0.8399
0.2934	22.96	419	0.3978	0.8604
0.2789	24.0	438	0.4027	0.8610
0.2714	24.66	450	0.4265	0.8569

Framework versions

Transformers 4.27.4
Pytorch 1.13.0
Datasets 2.7.1
Tokenizers 0.13.2

Task: Audio Classification
Library: transformers
Type: wav2vec2
Created: Apr 16, 2023
Updated: Apr 16, 2023