Hugging Face's logo

jacobjwebber
/
w2v-bert-2.0-yiddish_reyd

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

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

w2v-bert-2.0-yiddish_reyd

This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.2122
  • eval_wer: 0.0984
  • eval_runtime: 105.8185
  • eval_samples_per_second: 4.631
  • eval_steps_per_second: 4.631
  • epoch: 3.0303
  • step: 400

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: 16
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • 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: 500
  • num_epochs: 25
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.56.0
  • Pytorch 2.8.0+cu129
  • Datasets 3.0.0
  • Tokenizers 0.22.0
Downloads last month
-
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 jacobjwebber/w2v-bert-2.0-yiddish_reyd

Base model

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