metadata
language:
- es
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Tiny Spanish
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_13_0 es
type: mozilla-foundation/common_voice_13_0
config: es
split: test
args: es
metrics:
- name: Wer
type: wer
value: 19.59044631343944
Whisper Tiny Spanish
This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common_voice_13_0 es dataset. It achieves the following results on the evaluation set:
- Loss: 0.4218
- Wer: 19.5904
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: 3.75e-05
- train_batch_size: 256
- eval_batch_size: 128
- 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: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1801 | 8.0 | 1000 | 0.4318 | 22.1861 |
| 0.1627 | 16.01 | 2000 | 0.4218 | 19.5904 |
| 0.0691 | 24.01 | 3000 | 0.4374 | 20.7170 |
| 0.0124 | 32.01 | 4000 | 0.4635 | 20.0459 |
| 0.0129 | 40.02 | 5000 | 0.4568 | 20.4135 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3