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quantized-whisper-large-v3 – AI Model by riteshkr | AlphaNeural AI
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quantized-whisper-large-v3
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tensorboard
safetensors
whisper
generated_from_trainer
openai/whisper-large-v3
finetune
apache-2.0
us
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whisper-large-v3-quantized
This model is a fine-tuned version of
openai/whisper-large-v3
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 1.1612
eval_wer: 0.5591
eval_runtime: 676.1374
eval_samples_per_second: 0.602
eval_steps_per_second: 0.075
epoch: 0.4917
step: 800
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: 1
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1000
mixed_precision_training: Native AMP
Framework versions
Transformers 4.43.3
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1