DrishtiSharma/wav2vec2-xls-r-300m-rm-vallader-d1

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This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMONVOICE8_0 - RM-VALLADER dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2754
• —Wer: 0.2831

Evaluation Commands

1. 1.To evaluate on mozilla-foundation/commonvoice8_0 with test split

python eval.py --modelid DrishtiSharma/wav2vec2-xls-r-300m-rm-vallader-d1 --dataset mozilla-foundation/commonvoice80 --config rm-vallader --split test --log_outputs

1. 1.To evaluate on speech-recognition-community-v2/dev_data

Romansh-Vallader language not found in speech-recognition-community-v2/dev_data

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 7.5e-05
• —trainbatchsize: 32
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 100.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.17.0.dev0
• —Pytorch 1.10.2+cu102
• —Datasets 1.18.2.dev0
• —Tokenizers 0.11.0