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second2 – AI Model by RafatK | AlphaNeural AI

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RafatK/
second2

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automatic-speech-recognition

generated_from_trainer

openai/whisper-large-v2

endpoints_compatible

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second2

This model is a fine-tuned version of openai/whisper-large-v2 on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2553
eval_cer: 3.9437
eval_wer: 13.3115
eval_bleu: 0.7447
eval_runtime: 981.1698
eval_samples_per_second: 0.936
eval_steps_per_second: 0.234
epoch: 0.96
step: 4500

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: 8
eval_batch_size: 4
seed: 420
gradient_accumulation_steps: 8
total_train_batch_size: 64
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: 2
training_steps: 10500
mixed_precision_training: Native AMP

Framework versions

Transformers 4.52.0
Pytorch 2.9.1+cu126
Datasets 3.6.0
Tokenizers 0.21.4