README.md

metadata

tags:
  - generated_from_trainer
base_model: batoula187/wav2vec2-large-xls-r-300m-arabic-colab
datasets:
  - common_voice_12_0
model-index:
  - name: wav2vec2-large-xls-r-300m-arabic-colab
    results: []

wav2vec2-large-xls-r-300m-arabic-colab

This model is a fine-tuned version of batoula187/wav2vec2-large-xls-r-300m-arabic-colab on the common_voice_12_0 dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.8094
• eval_wer: 0.5827
• eval_runtime: 136.4654
• eval_samples_per_second: 15.293
• eval_steps_per_second: 1.913
• epoch: 3.8055
• step: 3600

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: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 30
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.41.0
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1