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---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- common_voice_13_0
metrics:
- wer
model-index:
- name: Compare-XLS-R-to-Whisper-demo-google-colab-Ezra_William_Prod
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: common_voice_13_0
type: common_voice_13_0
config: id
split: test
args: id
metrics:
- name: Wer
type: wer
value: 1.0
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Compare-XLS-R-to-Whisper-demo-google-colab-Ezra_William_Prod
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/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: 1e-06
- 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: linear
- num_epochs: 12
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 0.0 | 1.0 | 278 | nan | 1.0 |
| 0.0 | 2.0 | 556 | nan | 1.0 |
| 0.0 | 3.0 | 834 | nan | 1.0 |
| 0.0 | 4.0 | 1112 | nan | 1.0 |
| 0.0 | 5.0 | 1390 | nan | 1.0 |
| 0.0 | 6.0 | 1668 | nan | 1.0 |
| 0.0 | 7.0 | 1946 | nan | 1.0 |
| 0.0 | 8.0 | 2224 | nan | 1.0 |
| 0.0 | 9.0 | 2502 | nan | 1.0 |
| 0.0 | 10.0 | 2780 | nan | 1.0 |
| 0.0 | 11.0 | 3058 | nan | 1.0 |
| 0.0 | 12.0 | 3336 | nan | 1.0 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
|