Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
wav2vec2-base-bft-common-voice – AI Model by Qalandar1 | AlphaNeural AI
You can deploy this model and start earning money today!
Qalandar1
/
wav2vec2-base-bft-common-voice
like
0
transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
wav2vec2-base-bft-common-voice
This model is a fine-tuned version of
facebook/wav2vec2-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.8567
Wer: 0.8528
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: 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: 1000
num_epochs: 30
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
6.3689
6.0241
500
3.1615
1.0
2.3499
12.0482
1000
1.6561
0.9419
0.6950
18.0723
1500
1.7175
0.8617
0.3810
24.0964
2000
1.8577
0.8714
0.3810
30.0
2490
1.8567
0.8528
Framework versions
Transformers 5.12.0
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
