metadata
library_name: transformers
language:
- zu
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- zionia/isizulu-asr-specaugment
model-index:
- name: Whisper Small Isizulu-Asr-Specaugment
results: []
Whisper Small Isizulu-Asr-Specaugment
This model is a fine-tuned version of openai/whisper-small on the ISIZULU-ASR-SPECAUGMENT dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.7095
- eval_wer: 116.5770
- eval_runtime: 28.062
- eval_samples_per_second: 4.989
- eval_steps_per_second: 0.321
- step: 0
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.1