wav2vec2-base-en-in
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.5270
- eval_wer: 0.2229
- eval_runtime: 96.3849
- eval_samples_per_second: 8.819
- eval_steps_per_second: 1.11
- epoch: 30.09
- step: 9600
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: 8
- 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: 600
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.17.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1