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README.md
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The following hyperparameters were used during training:
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train_batch_size=16
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gradient_accumulation_steps=1
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learning_rate=1e-5
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warmup_steps=500
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max_steps=4000
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gradient_checkpointing=True
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fp16=True
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evaluation_strategy="steps"
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save_steps=1000
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eval_steps=1000
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logging_steps=25
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metric_for_best_model="wer"
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The following hyperparameters were used during training:
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train_batch_size=16
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+
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gradient_accumulation_steps=1
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+
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learning_rate=1e-5
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+
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warmup_steps=500
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max_steps=4000
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+
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gradient_checkpointing=True
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+
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fp16=True
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evaluation_strategy="steps"
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save_steps=1000
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eval_steps=1000
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logging_steps=25
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metric_for_best_model="wer"
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