stevhliu / my_awesome_asr_mind_model

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Total runs: 6
24-hour runs: 0
7-day runs: -3
30-day runs: -21
Model's Last Updated: November 19 2022
automatic-speech-recognition

Introduction of my_awesome_asr_mind_model

Model Details of my_awesome_asr_mind_model

my_awesome_asr_mind_model

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

  • Loss: 6.8626
  • Wer: 1.0299
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
  • gradient_accumulation_steps: 2
  • 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: 500
  • training_steps: 2000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
0.7266 499.8 1000 5.8888 0.9403
0.166 999.8 2000 6.8626 1.0299
Framework versions
  • Transformers 4.25.0.dev0
  • Pytorch 1.12.1+cu113
  • Datasets 2.7.0
  • Tokenizers 0.13.2

Runs of stevhliu my_awesome_asr_mind_model on huggingface.co

6
Total runs
0
24-hour runs
0
3-day runs
-3
7-day runs
-21
30-day runs

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