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

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whisper-medium-dora-afrispeech-all

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whisper-medium-dora-afrispeech-all

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: 0.8189
Model Preparation Time: 0.0449
Wer: 0.125

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: 3589
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Wer
0.5406	1.0	3590	0.6143	0.0449	0.139
0.4742	2.0	7180	0.5470	0.0449	0.126
0.3209	3.0	10770	0.5525	0.0449	0.125
0.2135	4.0	14360	0.5756	0.0449	0.126
0.1865	5.0	17950	0.6595	0.0449	0.126
0.1048	6.0	21540	0.8189	0.0449	0.125

Framework versions

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