metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2_xlsr
results: []
wav2vec2_xlsr
This model is a fine-tuned version of diallomama/wav2vec2_xlsr on the common_voice dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2204
- eval_wer: 0.9719
- eval_runtime: 923.0808
- eval_samples_per_second: 16.346
- eval_steps_per_second: 2.044
- epoch: 1.66
- step: 8400
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: 10
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 1.18.3
- Tokenizers 0.13.3