Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
wav2vec2-base-finetuned-ks – AI Model by Hnin | AlphaNeural AI
You can deploy this model and start earning money today!
Hnin
/
wav2vec2-base-finetuned-ks
like
0
transformers
tensorboard
safetensors
wav2vec2
audio-classification
generated_from_trainer
superb
facebook/wav2vec2-base
finetune
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
wav2vec2-base-finetuned-ks
This model is a fine-tuned version of
facebook/wav2vec2-base
on the superb dataset. It achieves the following results on the evaluation set:
Loss: 0.0977
Accuracy: 0.9822
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6403
1.0
400
0.6115
0.8597
0.2764
2.0
800
0.1926
0.9773
0.2263
3.0
1200
0.1171
0.9810
0.1638
4.0
1600
0.0977
0.9822
0.1313
5.0
2000
0.0909
0.9822
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
