|
--- |
|
language: |
|
- el |
|
license: apache-2.0 |
|
tags: |
|
- whisper-event |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_11_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Small Greek - Robust |
|
results: |
|
- task: |
|
type: automatic-speech-recognition |
|
name: Automatic Speech Recognition |
|
dataset: |
|
name: mozilla-foundation/common_voice_11_0 el |
|
type: mozilla-foundation/common_voice_11_0 |
|
config: el |
|
split: test |
|
args: el |
|
metrics: |
|
- type: wer |
|
value: 24.52637444279346 |
|
name: Wer |
|
- type: wer |
|
value: 20.42 |
|
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 Small Greek - Robust |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 el dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3605 |
|
- Wer: 24.5264 |
|
|
|
## 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: 5e-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: 500 |
|
- training_steps: 5000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 0.2223 | 2.35 | 500 | 0.4403 | 37.9922 | |
|
| 0.0908 | 4.69 | 1000 | 0.4041 | 35.6519 | |
|
| 0.0465 | 7.04 | 1500 | 0.4189 | 34.3053 | |
|
| 0.0168 | 9.39 | 2000 | 0.3972 | 29.9127 | |
|
| 0.0118 | 11.74 | 2500 | 0.4043 | 28.9933 | |
|
| 0.0053 | 14.08 | 3000 | 0.3968 | 28.5940 | |
|
| 0.0032 | 16.43 | 3500 | 0.3664 | 25.6779 | |
|
| 0.0009 | 18.78 | 4000 | 0.3665 | 26.2444 | |
|
| 0.0003 | 21.13 | 4500 | 0.3620 | 25.2879 | |
|
| 0.0004 | 23.47 | 5000 | 0.3570 | 24.8607 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.13.1+cu117 |
|
- Datasets 2.7.1 |
|
- Tokenizers 0.13.2 |
|
|
