whisper-tiny-th-puct-7k – AI Model by CheeLi03 | AlphaNeural AI

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CheeLi03/
whisper-tiny-th-puct-7k

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automatic-speech-recognition

hf-asr-leaderboard

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openai/whisper-tiny

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Whisper Tiny Thai Punctuation 5k - Chee Li

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

Loss: 0.8643
Wer: 113.9159

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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use 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: 500
training_steps: 7000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2866	5.2356	1000	0.6085	126.8345
0.0843	10.4712	2000	0.6126	116.8844
0.0169	15.7068	3000	0.6997	126.3833
0.0041	20.9424	4000	0.7786	120.2090
0.0019	26.1780	5000	0.8240	116.0294
0.0012	31.4136	6000	0.8532	118.7129
0.0011	36.6492	7000	0.8643	113.9159

Framework versions

Transformers 4.46.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.20.3