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Whisper Large v3 Fine-Tuned Finnish

This model is a fine-tuned version of openai/whisper-large-v3 on the mozilla-foundation/common_voice_13_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3970
  • Wer: 27.1397

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: 0.0001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 1600
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.7157 0.21 50 0.4892 42.8216
0.6602 0.42 100 0.6444 58.3379
0.5952 0.63 150 0.6134 52.3560
0.5649 0.84 200 0.5645 53.3499
0.5078 1.05 250 0.5867 69.4736
0.289 1.26 300 0.6150 55.5034
0.3318 1.47 350 0.5309 40.3000
0.2859 1.68 400 0.5462 41.3584
0.3091 1.89 450 0.4891 38.6159
0.2089 2.11 500 0.5305 41.0915
0.148 2.32 550 0.5124 37.8888
0.1538 2.53 600 0.5075 36.9225
0.1515 2.74 650 0.5187 37.9440
0.1532 2.95 700 0.4666 35.4040
0.0982 3.16 750 0.4934 36.7385
0.0832 3.37 800 0.4796 34.3641
0.0782 3.58 850 0.4742 39.5270
0.0724 3.79 900 0.4634 42.7388
0.0733 4.0 950 0.4544 38.6987
0.0409 4.21 1000 0.4778 33.1953
0.0437 4.42 1050 0.4584 33.3793
0.036 4.63 1100 0.4476 33.9223
0.0321 4.84 1150 0.4538 32.0725
0.0257 5.05 1200 0.4390 37.2538
0.0133 5.26 1250 0.4319 30.7289
0.0104 5.47 1300 0.4065 30.5264
0.0122 5.68 1350 0.4012 28.5754
0.0071 5.89 1400 0.4113 28.4925
0.0038 6.11 1450 0.3939 26.8820
0.0019 6.32 1500 0.3960 26.8820
0.0021 6.53 1550 0.3978 27.1305
0.0017 6.74 1600 0.3970 27.1397

Framework versions

  • Transformers 4.37.0.dev0
  • Pytorch 2.0.1
  • Datasets 2.16.1
  • Tokenizers 0.15.0
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Dataset used to train enakilci/whisper-large-v3-fi-1600steps-8batch-2grad_steps-0.0001lr

Evaluation results