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whisper-tiny-polyai-enUS – AI Model by mitro99 | AlphaNeural AI
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whisper-tiny-polyai-enUS
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
PolyAI/minds14
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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whisper-tiny-polyai-enUS
This model is a fine-tuned version of
openai/whisper-tiny
on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:
eval_loss: 0.7582
eval_wer_ortho: 0.3510
eval_wer: 0.3418
eval_runtime: 34.041
eval_samples_per_second: 3.32
eval_steps_per_second: 0.118
epoch: 26.67
step: 400
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
