|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-large-v3 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_16_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-large-v3-pt-cv16-cuda |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: mozilla-foundation/common_voice_16_0 pt |
|
type: mozilla-foundation/common_voice_16_0 |
|
split: None |
|
args: pt |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 0.9998545572074984 |
|
--- |
|
|
|
<!-- 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-v3-pt-cv16-cuda |
|
|
|
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the mozilla-foundation/common_voice_16_0 pt dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1325 |
|
- Wer: 0.9999 |
|
|
|
## 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-06 |
|
- train_batch_size: 8 |
|
- 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: 2000 |
|
- training_steps: 5000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 0.199 | 0.26 | 1000 | 0.1563 | 0.1124 | |
|
| 0.1654 | 0.52 | 2000 | 0.1500 | 0.1052 | |
|
| 0.1794 | 0.77 | 3000 | 0.1379 | 0.0997 | |
|
| 0.0821 | 1.03 | 4000 | 0.1321 | 1.0007 | |
|
| 0.1292 | 1.29 | 5000 | 0.1325 | 0.9999 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.0.dev0 |
|
- Pytorch 2.2.0.dev20231212 |
|
- Datasets 2.15.1.dev0 |
|
- Tokenizers 0.15.0 |
|
|
