|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- common_voice_11_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-tiny-id |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: common_voice_11_0 |
|
type: common_voice_11_0 |
|
config: id |
|
split: test |
|
args: id |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 33.344092963202066 |
|
--- |
|
|
|
<!-- 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-tiny-id |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_11_0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7428 |
|
- Wer: 33.3441 |
|
|
|
## 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: 2e-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: 5000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 0.3823 | 4.95 | 500 | 0.5251 | 33.4732 | |
|
| 0.0495 | 9.9 | 1000 | 0.5700 | 33.3902 | |
|
| 0.0077 | 14.85 | 1500 | 0.6202 | 32.4218 | |
|
| 0.0031 | 19.8 | 2000 | 0.6616 | 32.5371 | |
|
| 0.0019 | 24.75 | 2500 | 0.6873 | 32.7954 | |
|
| 0.0014 | 29.7 | 3000 | 0.7056 | 33.5700 | |
|
| 0.0011 | 34.65 | 3500 | 0.7204 | 33.7960 | |
|
| 0.0009 | 39.6 | 4000 | 0.7327 | 33.7729 | |
|
| 0.0008 | 44.55 | 4500 | 0.7400 | 33.9113 | |
|
| 0.0007 | 49.5 | 5000 | 0.7428 | 33.3441 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.13.0+cu117 |
|
- Datasets 2.7.1.dev0 |
|
- Tokenizers 0.13.2 |
|
|