metadata

language:
  - gl
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_13_0
metrics:
  - wer
model-index:
  - name: Whisper Tiny Galician
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: mozilla-foundation/common_voice_13_0 gl
          type: mozilla-foundation/common_voice_13_0
          config: gl
          split: test
          args: gl
        metrics:
          - name: Wer
            type: wer
            value: 26.35037251655629

Whisper Tiny Galician

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

Loss: 0.5832
Wer: 26.3504

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: 3.75e-05
train_batch_size: 256
eval_batch_size: 128
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: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0062	19.01	1000	0.5832	26.3504
0.0012	39.01	2000	0.6527	26.7177
0.0006	59.01	3000	0.6950	27.4352
0.0004	79.01	4000	0.7260	28.4044
0.0003	99.01	5000	0.7315	28.1905

Framework versions

Transformers 4.33.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3