README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - common_voice_11_0
metrics:
  - wer
model-index:
  - name: mms-1b-l1107-nan
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: common_voice_11_0
          type: common_voice_11_0
          config: nan-tw
          split: test
          args: nan-tw
        metrics:
          - name: Wer
            type: wer
            value: 1.005720823798627

mms-1b-l1107-nan

This model was trained from scratch on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:

• Loss: 1.5084
• Wer: 1.0057

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: 100
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
12.5725	2.0	100	1.8002	1.0
1.5002	4.0	200	1.5084	1.0057

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu117
• Datasets 2.13.1
• Tokenizers 0.13.3