wavlm-basic_s-f-o_8batch_10sec_0.0001lr_unfrozen – AI Model by reralle | AlphaNeural AI

You can deploy this model and start earning money today!

reralle/
wavlm-basic_s-f-o_8batch_10sec_0.0001lr_unfrozen

like

0

audio-classification

generated_from_trainer

endpoints_compatible

Views

No views yet

wavlm-basic_s-f-o_8batch_10sec_0.0001lr_unfrozen

This model is a fine-tuned version of microsoft/wavlm-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.2366
Accuracy: 0.8
F1: 0.7957

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
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.003
num_epochs: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
2.2461	1.0	131	2.0275	0.4667	0.3795
1.1331	2.0	262	0.9031	0.7833	0.7681
0.7081	2.99	393	0.4658	0.85	0.8344
0.4829	4.0	525	0.6289	0.8333	0.8257
0.2998	5.0	656	0.6962	0.8333	0.8257
0.1818	6.0	787	0.5314	0.8667	0.8745
0.168	6.99	918	0.6366	0.8667	0.8666
0.1822	8.0	1050	0.5684	0.8667	0.8621
0.1178	9.0	1181	0.5222	0.8833	0.8834
0.1731	10.0	1312	0.8176	0.85	0.8430
0.1967	10.99	1443	0.9820	0.8	0.7935
0.0788	12.0	1575	0.5773	0.8667	0.8655

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3