Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
w2v-bert-2.0_brazilian_portugese_alpha_farmerline – AI Model by ghananlpcommunity | AlphaNeural AI
You can deploy this model and start earning money today!
ghananlpcommunity
/
w2v-bert-2.0_brazilian_portugese_alpha_farmerline
like
0
transformers
tensorboard
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_brazilian_portugese_alpha
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:
eval_loss: inf
eval_cer: 0.0244
eval_wer: 0.0851
eval_runtime: 298.1007
eval_samples_per_second: 31.53
eval_steps_per_second: 3.942
epoch: 13.3236
step: 18000
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: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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: 800
num_epochs: 16
mixed_precision_training: Native AMP
Framework versions
Transformers 4.53.1
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2
