Akan-3 – AI Model by devkyle | AlphaNeural AI

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devkyle/
Akan-3

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automatic-speech-recognition

generated_from_trainer

openai/whisper-tiny

endpoints_compatible

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whisper-tiny-akan

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: 1.1096
Wer: 45.1603

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: 2000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4793	10.0	250	0.7459	53.4739
0.0732	20.0	500	0.9086	49.4656
0.0309	30.0	750	1.0036	47.3278
0.0132	40.0	1000	1.0760	46.8230
0.005	50.0	1250	1.0944	45.3088
0.002	60.0	1500	1.0899	44.5368
0.0006	70.0	1750	1.1071	45.0416
0.0005	80.0	2000	1.1096	45.1603

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1