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