README.md

metadata

license: cc-by-nc-4.0
tags:
  - generated_from_trainer
datasets:
  - common_voice
metrics:
  - wer
model-index:
  - name: wav2vec2-common_voice-tr-mms-demo-3
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: common_voice
          type: common_voice
          config: tr
          split: test
          args: tr
        metrics:
          - name: Wer
            type: wer
            value: 0.22704524563374529

wav2vec2-common_voice-tr-mms-demo-3

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

• Loss: 0.1535
• Wer: 0.2270

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: 4.0

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0.92	100	0.1822	0.2605
No log	1.83	200	0.1620	0.2389
No log	2.75	300	0.1581	0.2318
No log	3.67	400	0.1535	0.2270

Framework versions

• Transformers 4.31.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3