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whisper-small-translate-ja2en – AI Model by huni0304 | AlphaNeural AI

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huni0304/
whisper-small-translate-ja2en

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automatic-speech-recognition

generated_from_trainer

openai/whisper-small

endpoints_compatible

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whisper-small-translate-ja2en2

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

eval_loss: 0.7056
eval_meteor: 0.5920
eval_runtime: 257.4671
eval_samples_per_second: 3.884
eval_steps_per_second: 0.245
epoch: 3.2160
step: 20000

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

image/png

image/png

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.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
num_epochs: 4

Framework versions

Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1