|
--- |
|
language: |
|
- pt |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
base_model: openai/whisper-medium |
|
datasets: |
|
- mozilla-foundation/common_voice_17_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Medium pt |
|
results: |
|
- task: |
|
type: automatic-speech-recognition |
|
name: Automatic Speech Recognition |
|
dataset: |
|
name: Common Voice 17.0 |
|
type: mozilla-foundation/common_voice_17_0 |
|
config: pt |
|
split: test |
|
args: pt |
|
metrics: |
|
- type: wer |
|
value: 6.9247738099044085 |
|
name: Wer |
|
- task: |
|
type: automatic-speech-recognition |
|
name: Automatic Speech Recognition |
|
dataset: |
|
name: google/fleurs |
|
type: google/fleurs |
|
config: pt_br |
|
split: test |
|
metrics: |
|
- type: wer |
|
value: 8.11 |
|
name: WER |
|
- task: |
|
type: automatic-speech-recognition |
|
name: Automatic Speech Recognition |
|
dataset: |
|
name: facebook/multilingual_librispeech |
|
type: facebook/multilingual_librispeech |
|
config: portuguese |
|
split: test |
|
metrics: |
|
- type: wer |
|
value: 9.66 |
|
name: WER |
|
--- |
|
|
|
<!-- 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 Medium pt |
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 17.0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2757 |
|
- Wer: 6.9248 |
|
|
|
## 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: 32 |
|
- eval_batch_size: 8 |
|
- 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 | |
|
|:-------------:|:------:|:----:|:---------------:|:------:| |
|
| 0.1211 | 1.0173 | 1000 | 0.2010 | 7.8295 | |
|
| 0.0393 | 2.0346 | 2000 | 0.2084 | 7.3020 | |
|
| 0.0167 | 3.0519 | 3000 | 0.2243 | 7.0191 | |
|
| 0.0049 | 4.0692 | 4000 | 0.2530 | 6.9807 | |
|
| 0.0018 | 5.0865 | 5000 | 0.2757 | 6.9248 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.42.0.dev0 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
