wav2vec2-large-mms-1b-FULL-SPGI-xs_2.5e5
This model is a fine-tuned version of facebook/mms-1b-all on the spgispeech_xs dataset.
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: 2.5e-05
- train_batch_size: 32
- 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: 100
- training_steps: 120
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.15.0
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Model tree for Jungwonchang/wav2vec2-large-mms-1b-FULL-SPGI-xs_2.5e5
Base model
facebook/mms-1b-allEvaluation results
- WER on Test set for spgispeechtest set self-reported19.670
- CER on Test set for spgispeechtest set self-reported5.470