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RafatK/Whisper_AZ

Browse files
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: openai/whisper-large-v2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: second2
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # second2
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+
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+ This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.3327
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+ - eval_cer: 5.4203
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+ - eval_wer: 20.4638
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+ - eval_bleu: 0.6173
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+ - eval_runtime: 1022.0953
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+ - eval_samples_per_second: 0.898
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+ - eval_steps_per_second: 0.225
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+ - epoch: 0.2134
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+ - step: 1000
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 4
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+ - seed: 420
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 64
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 2
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+ - training_steps: 9500
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.0
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+ - Pytorch 2.9.1+cu126
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.4
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