metadata
language:
- sq
license: apache-2.0
base_model: openai/whisper-base
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_Albanian
metrics:
- wer
model-index:
- name: Whisper tiny Albanian Test
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 16 Albanian
type: mozilla-foundation/common_voice_16_Albanian
args: 'config: sq, split: test'
metrics:
- name: Wer
type: wer
value: 57.736939090592166
Whisper tiny Albanian Test
This model is a fine-tuned version of openai/whisper-base on the Common Voice 16 Albanian dataset. It achieves the following results on the evaluation set:
- Loss: 0.6337
- Wer: 57.7369
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: 2500
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.8378 | 0.24 | 500 | 0.9927 | 77.2125 |
| 0.6385 | 0.49 | 1000 | 0.7570 | 66.3803 |
| 0.5949 | 0.73 | 1500 | 0.6877 | 60.9592 |
| 0.549 | 0.97 | 2000 | 0.6461 | 58.7106 |
| 0.4715 | 1.22 | 2500 | 0.6337 | 57.7369 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2