metadata

license: apache-2.0
tags:
  - generated_from_trainer
  - he
  - robust-speech-event
model-index:
  - name: wav2vec2-xls-r-300m-lm-hebrew
    results: []

wav2vec2-xls-r-300m-lm-hebrew

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset with adding ngram models according to Boosting Wav2Vec2 with n-grams in 🤗 Transformers

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: 0.0003
train_batch_size: 64
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 100
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.16.0.dev0
Pytorch 1.10.1+cu102
Datasets 1.17.1.dev0
Tokenizers 0.11.0