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vanilla-whisper-tiny_tat_evaluated_on_XYH-6-X – AI Model by jethrowang | AlphaNeural AI

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jethrowang/
vanilla-whisper-tiny_tat_evaluated_on_XYH-6-X

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formospeech/tat_asr_aligned

openai/whisper-tiny

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Whisper Tiny Taiwanese Condenser

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

eval_loss: 0.5442
eval_cer: 13.5174
eval_runtime: 1309.2429
eval_samples_per_second: 4.29
eval_steps_per_second: 0.134
step: 0

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: 681
training_steps: 6810
mixed_precision_training: Native AMP

Framework versions

Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1