|
--- |
|
language: |
|
- es |
|
license: apache-2.0 |
|
tags: |
|
- whisper-event |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_11_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Large Es - Javier Alonso |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 11.0 |
|
type: mozilla-foundation/common_voice_11_0 |
|
config: es |
|
split: test |
|
args: es |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 5.520113299724547 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# Whisper Large Es - Javier Alonso |
|
|
|
This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the Common Voice 11.0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1571 |
|
- Wer: 5.5201 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 2 |
|
- 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: 10000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:| |
|
| 0.211 | 0.1 | 1000 | 0.2293 | 8.3896 | |
|
| 0.2227 | 0.2 | 2000 | 0.2215 | 8.2552 | |
|
| 0.1496 | 0.3 | 3000 | 0.2121 | 8.0362 | |
|
| 0.1851 | 0.4 | 4000 | 0.2018 | 7.5197 | |
|
| 0.1917 | 0.5 | 5000 | 0.1916 | 7.1098 | |
|
| 0.1857 | 0.6 | 6000 | 0.1817 | 6.5537 | |
|
| 0.1294 | 0.7 | 7000 | 0.1752 | 6.4062 | |
|
| 0.1358 | 0.8 | 8000 | 0.1670 | 5.9950 | |
|
| 0.1542 | 0.9 | 9000 | 0.1604 | 5.7858 | |
|
| 0.1554 | 1.0 | 10000 | 0.1571 | 5.5201 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.10.0+cu111 |
|
- Datasets 2.8.1.dev0 |
|
- Tokenizers 0.13.2 |
|
|
