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bopha-stt-1.1.6 – AI Model by Tnaot | AlphaNeural AI

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Tnaot/
bopha-stt-1.1.6

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automatic-speech-recognition

generated_from_trainer

unsloth/whisper-large-v3

endpoints_compatible

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bopha-stt-1.1.6

This model is a fine-tuned version of unsloth/whisper-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.9844
Wer: 100.0
Ter: 100.0

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: 5e-06
train_batch_size: 20
eval_batch_size: 16
seed: 3407
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 5

Training results

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.22.1