|
--- |
|
language: |
|
- pt |
|
license: apache-2.0 |
|
tags: |
|
- hf-asr-leaderboard |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_11_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Small PT with Common Voice 11 |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 11.0 |
|
type: mozilla-foundation/common_voice_11_0 |
|
args: 'config: pt, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 14.380154024398555 |
|
--- |
|
|
|
<!-- 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 Small PT with Common Voice 11 |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3487 |
|
- Wer: 14.3802 |
|
|
|
## 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: 8 |
|
- 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: 1000 |
|
- training_steps: 10000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
|
| 0.1202 | 0.88 | 1000 | 0.2225 | 15.5847 | |
|
| 0.1024 | 1.76 | 2000 | 0.2160 | 15.0651 | |
|
| 0.0832 | 2.64 | 3000 | 0.2259 | 15.0923 | |
|
| 0.0081 | 3.51 | 4000 | 0.2519 | 14.7345 | |
|
| 0.0387 | 4.39 | 5000 | 0.2718 | 14.7311 | |
|
| 0.0039 | 5.27 | 6000 | 0.3031 | 14.5914 | |
|
| 0.001 | 6.15 | 7000 | 0.3238 | 14.5710 | |
|
| 0.0007 | 7.03 | 8000 | 0.3285 | 14.5113 | |
|
| 0.0009 | 7.91 | 9000 | 0.3467 | 14.3580 | |
|
| 0.0008 | 8.79 | 10000 | 0.3487 | 14.3802 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.0.dev0 |
|
- Pytorch 1.12.1+cu113 |
|
- Datasets 2.6.1 |
|
- Tokenizers 0.12.1 |
|
|
