metadata
library_name: transformers
language:
- id
license: apache-2.0
base_model: evanarlian/whisper-base-id
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
model-index:
- name: Whisper Base id
results: []
metrics:
- wer: 28.76
Whisper Base id
This model is a fine-tuned version of evanarlian/whisper-base-id on the Common Voice 17 dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
Common Voice 17 test split:
- Wer: 28.76
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1