metadata

license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-tiny-ja
    results: []
datasets:
  - mozilla-foundation/common_voice_11_0

whisper-tiny-ja

This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6251
Wer: 103.7719

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: 8
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.6556	0.73	1000	0.6251	103.7719

Framework versions

Transformers 4.33.2
Pytorch 2.1.1+cu118
Datasets 2.16.1
Tokenizers 0.13.3