metadata
library_name: transformers
language:
- am
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- leyu-amharic/leyu-amharic-wello-dialect
metrics:
- wer
model-index:
- name: Whisper Small Wello
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Leyu Amharic Wello Dialect
type: leyu-amharic/leyu-amharic-wello-dialect
metrics:
- name: Wer
type: wer
value: 70.49579459938026
Whisper Small Wello
This model is a fine-tuned version of openai/whisper-small on the Leyu Amharic Wello Dialect dataset. It achieves the following results on the evaluation set:
- Loss: 0.3457
- Wer Ortho: 74.3326
- Wer: 70.4958
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-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0950 | 3.3333 | 500 | 0.2847 | 75.4209 | 71.9345 |
| 0.0280 | 6.6667 | 1000 | 0.3072 | 74.0246 | 70.4737 |
| 0.0107 | 10.0 | 1500 | 0.3337 | 74.1889 | 70.2966 |
| 0.0028 | 13.3333 | 2000 | 0.3457 | 74.3326 | 70.4958 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2