metadata
library_name: transformers
license: apache-2.0
base_model: abiyo27/whisper-small-ewe-2
tags:
- generated_from_trainer
datasets:
- Leonel-Maia/ewe_dataset
metrics:
- wer
model-index:
- name: whisper-bible
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Leonel-Maia/ewe_dataset
type: Leonel-Maia/ewe_dataset
metrics:
- name: Wer
type: wer
value: 0.36401294498381875
whisper-bible
This model is a fine-tuned version of abiyo27/whisper-small-ewe-2 on the Leonel-Maia/ewe_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.4076
- Wer: 0.3640
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: 1
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use adamw_torch 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: 500
- num_epochs: 60.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5366 | 0.4398 | 500 | 0.5260 | 0.4396 |
| 0.4324 | 0.8796 | 1000 | 0.4524 | 0.3907 |
| 0.3911 | 1.3193 | 1500 | 0.4261 | 0.3697 |
| 0.3889 | 1.7591 | 2000 | 0.4111 | 0.3650 |
| 0.3005 | 2.1988 | 2500 | 0.4157 | 0.3608 |
| 0.3021 | 2.6386 | 3000 | 0.4076 | 0.3640 |
| 0.2166 | 3.0783 | 3500 | 0.4138 | 0.3609 |
| 0.2123 | 3.5181 | 4000 | 0.4201 | 0.3602 |
| 0.2596 | 3.9579 | 4500 | 0.4182 | 0.3598 |
| 0.1703 | 4.3976 | 5000 | 0.4448 | 0.3698 |
| 0.179 | 4.8374 | 5500 | 0.4421 | 0.3798 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.7.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1