|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- common_voice_11_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: openai/whisper-medium |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: common_voice_11_0 |
|
type: common_voice_11_0 |
|
config: ar |
|
split: test |
|
args: ar |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 48.75333333333333 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# openai/whisper-medium |
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the common_voice_11_0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4711 |
|
- Wer: 48.7533 |
|
|
|
## 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: 4 |
|
- 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: 10000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
|
| 0.2215 | 0.1 | 1000 | 0.3361 | 49.9307 | |
|
| 0.1134 | 1.07 | 2000 | 0.3290 | 56.76 | |
|
| 0.0765 | 2.04 | 3000 | 0.3400 | 54.3947 | |
|
| 0.0417 | 3.01 | 4000 | 0.3599 | 52.5320 | |
|
| 0.0364 | 3.11 | 5000 | 0.3740 | 55.5653 | |
|
| 0.0094 | 4.08 | 6000 | 0.4152 | 56.4307 | |
|
| 0.0077 | 5.05 | 7000 | 0.4218 | 47.5307 | |
|
| 0.0018 | 6.02 | 8000 | 0.4556 | 50.0493 | |
|
| 0.0012 | 6.12 | 9000 | 0.4760 | 54.8147 | |
|
| 0.0009 | 7.09 | 10000 | 0.4711 | 48.7533 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.28.0.dev0 |
|
- Pytorch 2.0.0+cu117 |
|
- Datasets 2.11.1.dev0 |
|
- Tokenizers 0.13.2 |
|
|
