|
--- |
|
language: |
|
- sq |
|
license: apache-2.0 |
|
base_model: openai/whisper-base |
|
tags: |
|
- hf-asr-leaderboard |
|
- generated_from_trainer |
|
datasets: |
|
- Kaggle |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper tiny Albanian Test |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Kaggle Albanian |
|
type: Kaggle |
|
args: 'config: sq, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 48.16474924050003 |
|
--- |
|
|
|
<!-- 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 Albanian Test |
|
|
|
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co./openai/whisper-base) on the Kaggle Albanian dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5186 |
|
- Wer: 48.1647 |
|
|
|
## 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: 3000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 0.7023 | 0.24 | 500 | 0.8606 | 70.4293 | |
|
| 0.548 | 0.49 | 1000 | 0.6505 | 58.0382 | |
|
| 0.495 | 0.73 | 1500 | 0.5849 | 53.2696 | |
|
| 0.4606 | 0.97 | 2000 | 0.5444 | 50.3312 | |
|
| 0.3731 | 1.22 | 2500 | 0.5247 | 48.1971 | |
|
| 0.3689 | 1.46 | 3000 | 0.5186 | 48.1647 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.0.dev0 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.17.1 |
|
- Tokenizers 0.15.2 |
|
|
