Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
wav2vec2-hindi-bhoj-3 – AI Model by sriiikar | AlphaNeural AI
You can deploy this model and start earning money today!
sriiikar
/
wav2vec2-hindi-bhoj-3
like
0
transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
wav2vec2-hindi-bhoj-3
This model is a fine-tuned version of
facebook/wav2vec2-large-xlsr-53
on the None dataset. It achieves the following results on the evaluation set:
Loss: 5.7033
Wer: 1.1477
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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 40
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
8.6136
6.45
400
3.6017
1.0
2.6692
12.9
800
4.5408
1.0872
0.5639
19.35
1200
5.2302
1.2282
0.2296
25.8
1600
5.3323
1.0872
0.1496
32.26
2000
5.7219
1.1342
0.1098
38.7
2400
5.7033
1.1477
Framework versions
Transformers 4.20.0.dev0
Pytorch 1.11.0+cu113
Datasets 2.2.3.dev0
Tokenizers 0.12.1
