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DrishtiSharma/wav2vec2-xls-r-300m-rm-sursilv-d11

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.010 GBother✓ 2 checksumsupdated today
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This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - RM-SURSILV dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2511
  • Wer: 0.2415

Evaluation Commands

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

python eval.py --model_id DrishtiSharma/wav2vec2-xls-r-300m-rm-sursilv-d11 --dataset mozilla-foundation/common_voice_8_0 --config rm-sursilv --split test --log_outputs

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

Romansh-Sursilv language isn't available in speech-recognition-community-v2/dev_data

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 7e-05
  • train_batch_size: 32
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2000
  • num_epochs: 125.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
2.3958 17.44 1500 0.6808 0.6521
0.9663 34.88 3000 0.3023 0.3718
0.7963 52.33 4500 0.2588 0.3046
0.6893 69.77 6000 0.2436 0.2718
0.6148 87.21 7500 0.2521 0.2572
0.5556 104.65 9000 0.2490 0.2442
0.5258 122.09 10500 0.2515 0.2442

Framework versions

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