sammy786/wav2vec2-xlsr-dhivehi

sammy786/wav2vec2-xlsr-dhivehi

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMONVOICE8_0 - dv dataset. It achieves the following results on evaluation set (which is 10 percent of train data set merged with other and dev datasets):

• —Loss: 14.86
• —Wer: 29.32

Model description

"facebook/wav2vec2-xls-r-1b" was finetuned.

Intended uses & limitations

More information needed

Training and evaluation data

Training data - Common voice Finnish train.tsv, dev.tsv and other.tsv

Training procedure

For creating the train dataset, all possible datasets were appended and 90-10 split was used.

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.000045637994662983496
• —trainbatchsize: 8
• —evalbatchsize: 16
• —seed: 13
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosinewithrestarts
• —lrschedulerwarmup_steps: 500
• —num_epochs: 30
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.16.0.dev0
• —Pytorch 1.10.0+cu102
• —Datasets 1.17.1.dev0
• —Tokenizers 0.10.3

Evaluation Commands

1. 1.To evaluate on mozilla-foundation/common_voice_8_0 with split test

python eval.py --model_id sammy786/wav2vec2-xlsr-dhivehi --dataset mozilla-foundation/common_voice_8_0 --config dv --split test