acoustic_model0_cv_17_fr_XLSR-53
This model was trained from scratch on the Common Voice 17 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4810
- eval_wer: 0.3881
- eval_runtime: 167.4913
- eval_samples_per_second: 6.538
- eval_steps_per_second: 0.818
- epoch: 11.0465
- step: 1600
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
- training_steps: 2000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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