metadata
language:
- dv
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Small Dv - Juan Carlos Pineros HF Class
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 13
type: mozilla-foundation/common_voice_13_0
config: dv
split: test
args: dv
metrics:
- name: Wer
type: wer
value: 11.119031887888166
Whisper Small Dv - Juan Carlos Pineros HF Class
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2937
- Wer Ortho: 56.7101
- Wer: 11.1190
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: 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: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.1203 | 1.63 | 500 | 0.1687 | 62.7551 | 13.3724 |
| 0.0464 | 3.26 | 1000 | 0.1757 | 58.8899 | 12.0997 |
| 0.0327 | 4.89 | 1500 | 0.1931 | 59.0919 | 11.8510 |
| 0.0118 | 6.51 | 2000 | 0.2349 | 58.2492 | 11.4042 |
| 0.007 | 8.14 | 2500 | 0.2606 | 57.7408 | 11.5259 |
| 0.0056 | 9.77 | 3000 | 0.2759 | 57.4413 | 11.0564 |
| 0.0038 | 11.4 | 3500 | 0.2785 | 57.2185 | 10.9956 |
| 0.0039 | 13.03 | 4000 | 0.2937 | 56.7101 | 11.1190 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3