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wav2vec2-large-lv60_scoring-phoneme-asr-timit_l2-english_nia037-saq-20s-11k_001

This model is a fine-tuned version of facebook/wav2vec2-large-lv60 on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 1.5816
  • eval_per: 0.2167
  • eval_pcc: 0.7021
  • eval_ctc_loss: 0.6796
  • eval_mse_loss: 0.9020
  • eval_runtime: 699.4014
  • eval_samples_per_second: 2.133
  • eval_steps_per_second: 2.133
  • epoch: 8.09
  • step: 6000

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: 4
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 750
  • training_steps: 7500

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.0.1
  • Datasets 2.16.1
  • Tokenizers 0.15.2
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