metadata
license: apache-2.0
tags:
- generated_from_trainer
base_model: openai/whisper-small
datasets:
- common_voice_13_0
metrics:
- wer
model-index:
- name: Compare-XLS-R-to-Whisper-demo-google-colab-Ezra_William_Prod
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: common_voice_13_0
type: common_voice_13_0
config: id
split: test
args: id
metrics:
- type: wer
value: 1
name: Wer
Compare-XLS-R-to-Whisper-demo-google-colab-Ezra_William_Prod
This model is a fine-tuned version of openai/whisper-small on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Wer: 1.0
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0 | 1.0 | 556 | nan | 1.0 |
| 0.0 | 2.0 | 1112 | nan | 1.0 |
| 0.0 | 3.0 | 1668 | nan | 1.0 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1