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: 26.13307119205298

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: 0.6003
Wer: 26.1331

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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3626	20.0	1000	0.5407	30.8464
0.1103	40.0	2000	0.5370	27.0402
0.0473	60.0	3000	0.5769	26.7263
0.03	80.0	4000	0.5936	26.1382
0.0244	100.0	5000	0.6003	26.1331

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1