|
|
--- |
|
|
language: |
|
|
- fr |
|
|
license: apache-2.0 |
|
|
base_model: openai/whisper-tiny.en |
|
|
tags: |
|
|
- hf-asr-leaderboard |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- mozilla-foundation/common_voice_11_0 |
|
|
metrics: |
|
|
- wer |
|
|
model-index: |
|
|
- name: Adrien le Grand |
|
|
results: |
|
|
- task: |
|
|
name: Automatic Speech Recognition |
|
|
type: automatic-speech-recognition |
|
|
dataset: |
|
|
name: Common Voice 11.0 |
|
|
type: mozilla-foundation/common_voice_11_0 |
|
|
config: fr |
|
|
split: test[:1%] |
|
|
args: 'config: fr, split: test' |
|
|
metrics: |
|
|
- name: Wer |
|
|
type: wer |
|
|
value: 96.5565706254392 |
|
|
--- |
|
|
|
|
|
<!-- 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. --> |
|
|
|
|
|
# Adrien le Grand |
|
|
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the Common Voice 11.0 dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 2.3909 |
|
|
- Wer: 96.5566 |
|
|
|
|
|
## 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: 16 |
|
|
- 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: 100 |
|
|
- training_steps: 500 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
|
| 3.6081 | 0.32 | 100 | 3.9453 | 134.0126 | |
|
|
| 2.5974 | 0.64 | 200 | 3.0204 | 123.6824 | |
|
|
| 2.1327 | 0.96 | 300 | 2.5791 | 100.7730 | |
|
|
| 1.7696 | 1.27 | 400 | 2.4342 | 101.4055 | |
|
|
| 1.7047 | 1.59 | 500 | 2.3909 | 96.5566 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.36.0.dev0 |
|
|
- Pytorch 2.1.0+cu118 |
|
|
- Datasets 2.15.0 |
|
|
- Tokenizers 0.15.0 |
|
|
|
