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: 1.2731
- eval_wer: 0.5959
- eval_runtime: 94.2795
- eval_samples_per_second: 16.6
- eval_steps_per_second: 2.079
- epoch: 19.6226
- step: 2600
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