Edit model card

Whisper Medium Basque

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

  • Loss: 0.4263
  • Wer: 14.6867

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: 64
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 10000

Training results

Training Loss Epoch Step Validation Loss Wer
0.0225 4.02 1000 0.3040 17.9209
0.0033 9.01 2000 0.3343 16.1833
0.0019 14.01 3000 0.3607 15.8127
0.0015 19.01 4000 0.3632 15.6203
0.0013 24.01 5000 0.3704 15.7520
0.0001 29.0 6000 0.3977 14.7940
0.0001 33.02 7000 0.4104 14.7191
0.0001 38.02 8000 0.4198 14.6928
0.0001 43.01 9000 0.4263 14.6867
0.0 48.01 10000 0.4293 14.7130

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3
Downloads last month
8

Finetuned from

Dataset used to train zuazo/whisper-medium-eu-from-es

Evaluation results