akan-wd-1 – AI Model by devkyle | AlphaNeural AI

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devkyle/
akan-wd-1

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automatic-speech-recognition

generated_from_trainer

openai/whisper-tiny

endpoints_compatible

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whisper-tiny-akan-100

This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1823
Wer: 8.7755

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 3000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1101	8.3333	500	0.9455	59.9493
0.0295	16.6667	1000	1.0721	50.0664
0.0117	25.0	1500	1.1477	50.5491
0.0008	33.3333	2000	1.1674	47.4840
0.0016	41.6667	2500	0.1804	9.2610
0.0004	50.0	3000	0.1823	8.7755

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1