metadata
language:
- ko
license: apache-2.0
base_model: openai/whisper-base
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- https://huggingface.co/datasets/aoome123/myvoice
model-index:
- name: whisper-base
results: []
whisper-base
This model is a fine-tuned version of openai/whisper-base on the myvoice dataset. It achieves the following results on the evaluation set:
- Loss: 1.7777
- Cer: 76.7642
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: 16
- eval_batch_size: 8
- 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: 4000
Training results
Training Loss | Epoch | Step | Validation Loss | Cer |
---|---|---|---|---|
0.0213 | 33.33 | 1000 | 1.6048 | 76.5921 |
0.0095 | 66.67 | 2000 | 1.6987 | 78.4854 |
0.0112 | 100.0 | 3000 | 1.7452 | 77.2806 |
0.007 | 133.33 | 4000 | 1.7777 | 76.7642 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1