zuazo / whisper-large-v2-eu-from-es

huggingface.co
Total runs: 6
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: January 06 2024
automatic-speech-recognition

Introduction of whisper-large-v2-eu-from-es

Model Details of whisper-large-v2-eu-from-es

Whisper Large-V2 Basque

This model is a fine-tuned version of zuazo/whisper-large-v2-es on the mozilla-foundation/common_voice_13_0 eu dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4245
  • Wer: 11.8393
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: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 20000
Training results
Training Loss Epoch Step Validation Loss Wer
0.0293 4.01 1000 0.2732 15.9484
0.0065 9.01 2000 0.3051 14.1136
0.0033 14.01 3000 0.3101 13.2407
0.0041 19.0 4000 0.3136 13.8300
0.0013 24.0 5000 0.3179 12.7364
0.0046 29.0 6000 0.3210 13.6640
0.0015 33.01 7000 0.3262 12.8093
0.0027 38.01 8000 0.3210 12.9612
0.0005 43.01 9000 0.3376 12.7850
0.0007 48.01 10000 0.3361 12.9126
0.0002 53.0 11000 0.3559 12.3739
0.0001 58.0 12000 0.3550 12.3355
0.0 63.0 13000 0.3852 12.1147
0.0 67.01 14000 0.3974 12.0134
0.0 72.01 15000 0.4072 11.9446
0.0 77.01 16000 0.4162 11.9203
0.0 82.01 17000 0.4245 11.8393
0.0 87.0 18000 0.4319 11.8616
0.0 92.0 19000 0.4375 11.8535
0.0 97.0 20000 0.4400 11.8656
Framework versions
  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3

Runs of zuazo whisper-large-v2-eu-from-es on huggingface.co

6
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