Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
w2v-bert-2.0-armenian-CV20.0 – AI Model by ErikMkrtchyan | AlphaNeural AI
You can deploy this model and start earning money today!
ErikMkrtchyan
/
w2v-bert-2.0-armenian-CV20.0
like
0
transformers
safetensors
wav2vec2-bert
automatic-speech-recognition
generated_from_trainer
facebook/w2v-bert-2.0
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
w2v-bert-2.0-armenian-CV20.0
This model is a fine-tuned version of
facebook/w2v-bert-2.0
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1436
Wer: 0.1106
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: 5e-05
train_batch_size: 24
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 48
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_steps: 500
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.3661
1.9231
600
0.1561
0.1946
0.0878
3.8462
1200
0.1293
0.1404
0.0415
5.7692
1800
0.1203
0.1238
0.0199
7.6923
2400
0.1285
0.1136
0.0087
9.6154
3000
0.1436
0.1106
Framework versions
Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.3.1
Tokenizers 0.21.0
