wav2vec2-base-minilibrispeech-2
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3808
- eval_wer: 0.1817
- eval_runtime: 7.9757
- eval_samples_per_second: 13.666
- eval_steps_per_second: 1.755
- epoch: 28.5714
- step: 7000
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 150
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for 3funnn/wav2vec2-base-minilibrispeech-2
Base model
facebook/wav2vec2-base