Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
wav2vec2-base-lang-id – AI Model by slakumalla | AlphaNeural AI
You can deploy this model and start earning money today!
slakumalla
/
wav2vec2-base-lang-id
like
0
transformers
safetensors
wav2vec2
audio-classification
generated_from_trainer
common_language
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-lang-id
This model is a fine-tuned version of
facebook/wav2vec2-base
on the common_language dataset. It achieves the following results on the evaluation set:
Loss: 11.3684
Accuracy: 0.0284
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: 0.0003
train_batch_size: 24
eval_batch_size: 3
seed: 0
gradient_accumulation_steps: 4
total_train_batch_size: 96
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
45.8136
1.0
232
11.3684
0.0284
45.4635
2.0
464
11.3664
0.0284
34.2305
3.0
696
11.3563
0.0284
Framework versions
Transformers 5.0.0.dev0
Pytorch 2.9.1+cu128
Datasets 3.6.0
Tokenizers 0.22.2
