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whisper-small-hi22 – AI Model by Marwan-Kasem | AlphaNeural AI
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whisper-small-hi22
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ami-ihm
Marwan-Kasem/whisper-small-hi2
finetune
endpoints_compatible
us
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whisper-small-hi22
This model is a fine-tuned version of
Marwan-Kasem/whisper-small-hi2
on the ami-ihm dataset. It achieves the following results on the evaluation set:
eval_loss: 4.2314
eval_wer: 1884.8103
eval_runtime: 22628.8735
eval_samples_per_second: 0.279
eval_steps_per_second: 0.035
epoch: 0.0922
step: 2500
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: 3e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Use 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: 500
training_steps: 5000
mixed_precision_training: Native AMP
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
