Hugging Face's logo

Paywinful
/
output

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
Generated from Trainer
Model card Files
xet
 Metrics Community

output

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset.

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: 3e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • 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: cosine
  • lr_scheduler_warmup_steps: 2500
  • training_steps: 25000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.54.0.dev0
  • Pytorch 2.6.0+cu124
  • Datasets 2.14.4
  • Tokenizers 0.21.2
Downloads last month
49
Safetensors
Model size
0.6B params
Tensor type
F32
·
Inference Providers NEW
Automatic Speech Recognition
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Paywinful/output

Base model

facebook/w2v-bert-2.0
Finetuned
(472)
this model