jq / mms-1b-lug-eng

huggingface.co
Total runs: 13
24-hour runs: 0
7-day runs: 4
30-day runs: 10
Model's Last Updated: March 22 2024
automatic-speech-recognition

Introduction of mms-1b-lug-eng

Model Details of mms-1b-lug-eng

stt

This model is a fine-tuned version of facebook/mms-1b-all on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1619
  • Wer Lug: 0.161
  • Wer Eng: 0.096
  • Wer Mean: 0.129
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: 100
  • training_steps: 5000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer Lug Wer Eng Wer Mean
0.1876 0.1 500 0.1711 0.183 0.106 0.144
0.1971 0.2 1000 0.1702 0.172 0.106 0.139
0.1898 0.3 1500 0.1687 0.168 0.108 0.138
0.1903 0.4 2000 0.1686 0.165 0.103 0.134
0.1888 0.5 2500 0.1663 0.165 0.096 0.131
0.1908 1.1 3000 0.1637 0.16 0.095 0.127
0.1792 1.2 3500 0.1642 0.157 0.094 0.125
0.1963 1.3 4000 0.1625 0.158 0.095 0.127
0.184 1.4 4500 0.1623 0.158 0.094 0.126
0.1888 1.5 5000 0.1619 0.161 0.096 0.129
Framework versions
  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of jq mms-1b-lug-eng on huggingface.co

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More Information About mms-1b-lug-eng huggingface.co Model

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mms-1b-lug-eng huggingface.co

mms-1b-lug-eng huggingface.co is an AI model on huggingface.co that provides mms-1b-lug-eng's model effect (), which can be used instantly with this jq mms-1b-lug-eng model. huggingface.co supports a free trial of the mms-1b-lug-eng model, and also provides paid use of the mms-1b-lug-eng. Support call mms-1b-lug-eng model through api, including Node.js, Python, http.

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jq mms-1b-lug-eng online free

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mms-1b-lug-eng install

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