whisper-medium-dora-afrispeech-general – AI Model by robello2 | AlphaNeural AI

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robello2/
whisper-medium-dora-afrispeech-general

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whisper-medium-dora-afrispeech-general

This model is a fine-tuned version of openai/whisper-medium on the afrispeech-200 dataset. It achieves the following results on the evaluation set:

Loss: 1.0067
Model Preparation Time: 0.0397
Wer: 0.107

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: 0.0001
train_batch_size: 16
eval_batch_size: 16
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: 1349
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Wer
0.5061	1.0	1350	0.6026	0.0397	0.12
0.4024	2.0	2700	0.5541	0.0397	0.106
0.2893	3.0	4050	0.5662	0.0397	0.109
0.2021	4.0	5400	0.6315	0.0397	0.107
0.1596	5.0	6750	1.0067	0.0397	0.107

Framework versions

PEFT 0.18.1
Transformers 5.3.0
Pytorch 2.6.0+cu124
Datasets 2.19.0
Tokenizers 0.22.2