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whisper-tiny-minds-en – AI Model by navodit17 | AlphaNeural AI
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whisper-tiny-minds-en
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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-finetuned-minds-en-navodit
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: 0.7334
eval_wer_ortho: 0.4466
eval_wer: 0.3300
eval_runtime: 36.2075
eval_samples_per_second: 3.121
eval_steps_per_second: 0.221
epoch: 17.8571
step: 500
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: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
Framework versions
Transformers 4.48.3
Pytorch 2.6.0
Datasets 3.2.0
Tokenizers 0.21.0
