wav2vec2-librispeech-clean-100h-demo-dist
This model is a fine-tuned version of facebook/wav2vec2-large-lv60 on the LIBRISPEECH_ASR - CLEAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.0554
- Wer: 0.0920
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.53.1
- Pytorch 2.7.0+cu126
- Datasets 2.21.0
- Tokenizers 0.21.2
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Model tree for ZuherJ/wav2vec2-librispeech-clean-100h-demo-dist
Base model
facebook/wav2vec2-large-lv60Dataset used to train ZuherJ/wav2vec2-librispeech-clean-100h-demo-dist
Evaluation results
- Wer on LIBRISPEECH_ASR - CLEANself-reported0.092