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whisper-small-3lang1token-4090-omitToken-customData – AI Model by JunWorks | AlphaNeural AI

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JunWorks/
whisper-small-3lang1token-4090-omitToken-customData

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hf-asr-leaderboard

generated_from_trainer

mozilla-foundation/common_voice_13_0

openai/whisper-small

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Whisper Small 3Lang 1 token only

This model is a fine-tuned version of openai/whisper-small on the Common Voice 13.0 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.7394
eval_cer: 21.6707
eval_wer: 34.9815
eval_both_er: 29.2571
eval_LID: 100.0
eval_total: 29.2571
eval_runtime: 5490.853
eval_samples_per_second: 17.277
eval_steps_per_second: 1.08
epoch: 6.0794
step: 162000

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: 4
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 240000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.42.4
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1