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metadata
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
  - generated_from_trainer
datasets:
  - common_voice_6_1
model-index:
  - name: wav2vec2-large-mms-1b-zh-colab
    results: []

wav2vec2-large-mms-1b-zh-colab

This model is a fine-tuned version of facebook/mms-1b-all on the common_voice_6_1 dataset.

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: 0.001
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 4

Framework versions

  • Transformers 4.31.0.dev0
  • Pytorch 2.1.0.dev20230711
  • Datasets 2.13.1
  • Tokenizers 0.13.3