wav2vec2-large-xlsr-phoneme-recongition
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the timit_asr dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2235
- eval_wer: 0.1636
- eval_runtime: 49.752
- eval_samples_per_second: 33.767
- eval_steps_per_second: 4.221
- epoch: 25.53
- step: 3600
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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Base model
facebook/wav2vec2-large-xlsr-53