|
--- |
|
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 v2 Spanish |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: mozilla-foundation/common_voice_11_0 es |
|
type: mozilla-foundation/common_voice_11_0 |
|
config: es |
|
split: test |
|
args: es |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 5.288186684683748 |
|
--- |
|
|
|
<!-- 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 v2 Spanish |
|
|
|
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the mozilla-foundation/common_voice_11_0 es dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1702 |
|
- Wer google/fleurs: 4.89 |
|
- Wer mozilla-foundation/common_voice_11_0: 5.2882 |
|
|
|
## 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: 4 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 16 |
|
- 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:| |
|
| 0.1738 | 0.1 | 1000 | 0.2031 | 7.0384 | |
|
| 0.2108 | 1.01 | 2000 | 0.1885 | 6.6668 | |
|
| 0.1599 | 1.11 | 3000 | 0.1814 | 6.5342 | |
|
| 0.0794 | 2.01 | 4000 | 0.1792 | 6.0314 | |
|
| 0.0477 | 2.11 | 5000 | 0.1936 | 6.1795 | |
|
| 0.0341 | 3.02 | 6000 | 0.2038 | 6.0113 | |
|
| 0.0264 | 3.12 | 7000 | 0.2111 | 5.8410 | |
|
| 0.0608 | 4.02 | 8000 | 0.1824 | 5.9067 | |
|
| 0.0523 | 4.12 | 9000 | 0.1768 | 5.3941 | |
|
| 0.0984 | 5.03 | 10000 | 0.1702 | 5.2882 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 2.0.0.dev20221210+cu117 |
|
- Datasets 2.7.1.dev0 |
|
- Tokenizers 0.13.2 |
|
|
