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whisper_model-ar – AI Model by nesrine19 | AlphaNeural AI

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nesrine19/
whisper_model-ar

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automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

openai/whisper-medium

endpoints_compatible

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Whisper Small ar -team 1

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

eval_loss: 1.1443
eval_wer: 23.9750
eval_runtime: 273.8789
eval_samples_per_second: 1.563
eval_steps_per_second: 0.197
step: 0

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-05
train_batch_size: 8
eval_batch_size: 8
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: 1000

Framework versions

Transformers 4.39.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.17.1
Tokenizers 0.15.2