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whisper-small-ArMarthaGit – AI Model by Martha-987 | AlphaNeural AI

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Martha-987/
whisper-small-ArMarthaGit

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automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

Martha-987/MyOwnData

endpoints_compatible

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Whisper Small Ar- Martha

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

eval_loss: 2.0694
eval_wer: 26.6360
eval_runtime: 5585.6572
eval_samples_per_second: 1.012
eval_steps_per_second: 0.506
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: 1e-05
train_batch_size: 16
eval_batch_size: 2
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: 3000

Framework versions

Transformers 4.31.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3