|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
- whisper-event |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-small-et |
|
results: |
|
- task: |
|
type: automatic-speech-recognition |
|
name: Automatic Speech Recognition |
|
dataset: |
|
name: mozilla-foundation/common_voice_11_0 |
|
type: mozilla-foundation/common_voice_11_0 |
|
config: et |
|
split: test |
|
metrics: |
|
- type: wer |
|
value: 43.69 |
|
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-et |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the following datasets: Common Voice 11, VoxPopuli and FLEURS. |
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
Estonian data from Common Voice 11, VoxPopuli and FLEURS corpora as both training and validation sets. Tested on Common Voice 11 test set. |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 1e-05 |
|
- train_batch_size: 64 |
|
- eval_batch_size: 32 |
|
- 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: 2000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 1.1285 | 1.03 | 200 | 1.0640 | 53.4934 | |
|
| 0.5163 | 2.05 | 400 | 0.6450 | 41.2428 | |
|
| 0.2005 | 4.01 | 600 | 0.5600 | 36.6797 | |
|
| 0.1188 | 5.03 | 800 | 0.5718 | 35.2847 | |
|
| 0.0487 | 6.06 | 1000 | 0.5999 | 34.7500 | |
|
| 0.0216 | 8.01 | 1200 | 0.6479 | 38.1906 | |
|
| 0.016 | 9.04 | 1400 | 0.6655 | 39.5034 | |
|
| 0.0085 | 10.06 | 1600 | 0.7027 | 33.9038 | |
|
| 0.0079 | 12.02 | 1800 | 0.7207 | 39.5723 | |
|
| 0.009 | 13.04 | 2000 | 0.7261 | 34.5973 | |
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.12.1+rocm5.1.1 |
|
- Datasets 2.7.1.dev0 |
|
- Tokenizers 0.13.2 |
|
|
