metadata

library_name: transformers
license: mit
base_model: unsloth/whisper-large-v3-turbo
tags:
  - generated_from_trainer
datasets:
  - haitian-creole-asr
metrics:
  - wer
model-index:
  - name: Ayira Large Turbo V3
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Haitian Creole ASR Dataset
          type: haitian-creole-asr
          args: 'language: ht, split: train'
        metrics:
          - name: Wer
            type: wer
            value: 5.613132085970648

Ayira Large Turbo V3

This model is a fine-tuned version of unsloth/whisper-large-v3-turbo on the Haitian Creole ASR Dataset dataset. It achieves the following results on the evaluation set:

Loss: 0.2041
Wer: 5.6131

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: 8
seed: 42
optimizer: Use OptimizerNames.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
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0906	2.9499	1000	0.1945	15.4483
0.0296	5.8997	2000	0.1862	6.4095
0.0032	8.8496	3000	0.1946	5.6375
0.0004	11.7994	4000	0.2041	5.6131

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1