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whisper-large-v2-eu-cv16_1

zuazo / whisper-large-v2-eu-cv16_1

Run on huggingface.co
huggingface.co
Total runs: 4
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: April 25 2024
automatic-speech-recognition

Introduction of whisper-large-v2-eu-cv16_1

Model Details of whisper-large-v2-eu-cv16_1

Whisper Large-V2 Basque

This model is a fine-tuned version of openai/whisper-large-v2 on the mozilla-foundation/common_voice_16_1 eu dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4206
  • Wer: 7.7204
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: 8
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 40000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
0.0112 10.04 1000 0.2182 10.1571
0.0052 20.08 2000 0.2372 9.6276
0.0017 30.11 3000 0.2417 9.0150
0.0022 40.15 4000 0.2341 8.8938
0.0023 50.19 5000 0.2451 8.9388
0.0006 60.23 6000 0.2517 8.4161
0.0006 70.26 7000 0.2499 8.0985
0.0008 80.3 8000 0.2548 8.3467
0.0004 90.34 9000 0.2498 7.9559
0.0003 100.38 10000 0.2489 7.6940
0.0 110.41 11000 0.2906 7.5455
0.0 120.45 12000 0.3027 7.4596
0.0 130.49 13000 0.3137 7.4517
0.0 140.53 14000 0.3243 7.4644
0.0 150.56 15000 0.3351 7.4762
0.0 160.6 16000 0.3459 7.4556
0.0 170.64 17000 0.3565 7.4605
0.0 180.68 18000 0.3689 7.4996
0.0 190.72 19000 0.3806 7.5934
0.0 200.75 20000 0.3912 7.6344
0.0 210.79 21000 0.4005 7.5485
0.0 220.83 22000 0.4102 7.6266
0.0079 230.87 23000 0.2467 9.1654
0.0 240.9 24000 0.3097 7.7615
0.0 250.94 25000 0.3311 7.7243
0.0 260.98 26000 0.3446 7.7028
0.0 271.02 27000 0.3551 7.7546
0.0 281.05 28000 0.3646 7.7986
0.0 291.09 29000 0.3729 7.7781
0.0 301.13 30000 0.3811 7.7634
0.0 311.17 31000 0.3878 7.7702
0.0 321.2 32000 0.3948 7.7722
0.0 331.24 33000 0.4003 7.7302
0.0 341.28 34000 0.4058 7.7312
0.0 351.32 35000 0.4108 7.7292
0.0 361.36 36000 0.4142 7.7321
0.0 371.39 37000 0.4170 7.7204
0.0 381.43 38000 0.4189 7.7253
0.0 391.47 39000 0.4202 7.7263
0.0 401.51 40000 0.4206 7.7204
Framework versions
  • Transformers 4.37.2
  • Pytorch 2.2.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1

Runs of zuazo whisper-large-v2-eu-cv16_1 on huggingface.co

4
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs

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