DylanonWic/wav2vec2-large-asr-th-4-gram
08
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wav2vec2-large-asr-th-2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1819
- eval_wer: 0.3346
- eval_cer: 0.0910
- eval_runtime: 735.0436
- evalsamplesper_second: 13.822
- evalstepsper_second: 1.728
- epoch: 0.95
- step: 4000
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
- trainbatchsize: 16
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 3
- totaltrainbatch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_steps: 500
- training_steps: 5000
- mixedprecisiontraining: Native AMP
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2