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whisper-base-en-mine – AI Model by abdulsammad1090 | AlphaNeural AI
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whisper-base-en-mine
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
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whispersmallromanurdu
This model is a fine-tuned version of
openai/whisper-small-en
on the None dataset.
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: 5e-06
train_batch_size: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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: 100
training_steps: 1000
Framework versions
Transformers 4.48.0
Pytorch 2.5.1+cu118
Datasets 3.2.0
Tokenizers 0.21.0
