whisper-tiny-genshin – AI Model by VingeNie | AlphaNeural AI

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VingeNie/
whisper-tiny-genshin

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automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_16_1

openai/whisper-tiny

endpoints_compatible

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Whisper Tiny chinese - VingeNie

This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 16.1 dataset. It achieves the following results on the evaluation set:

Loss: 0.2238
Cer Ortho: 12.1911
Cer: 9.6411

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: 64
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
training_steps: 2400
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer Ortho	Cer
0.3743	0.4762	400	0.3739	24.9883	15.7515
0.3062	0.9524	800	0.3034	17.2255	12.8821
0.2075	1.4286	1200	0.2715	14.9716	11.5961
0.1894	1.9048	1600	0.2445	13.9330	10.5500
0.1222	2.3810	2000	0.2330	12.5011	9.9106
0.1125	2.8571	2400	0.2238	12.1911	9.6411

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1