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whisper-small-hi – AI Model by san2003m | AlphaNeural AI

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san2003m/
whisper-small-hi

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automatic-speech-recognition

generated_from_trainer

mShiry/ATC_combined

openai/whisper-small

endpoints_compatible

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Whisper Small ATC - ATCText

This model is a fine-tuned version of openai/whisper-small on the ATC dataset. It achieves the following results on the evaluation set:

eval_loss: 1.9991
eval_wer: 76.1224
eval_runtime: 2033.5597
eval_samples_per_second: 2.323
eval_steps_per_second: 0.066
epoch: 0.0
step: 1

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: 0.1
train_batch_size: 32
eval_batch_size: 35
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: 2
mixed_precision_training: Native AMP

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2