madhabpaul/asr-wav2vec2-1b-asm

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asr-wav2vec2-1b-asm

This model is a fine-tuned version of facebook/mms-1b-all on the commonvoice17_0 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2854
• —Wer: 0.8947

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
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 200
• —num_epochs: 14
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.42.0.dev0
• —Pytorch 2.3.0+cu121
• —Datasets 2.20.0
• —Tokenizers 0.19.1