allow using 0.01 in save frequncy for large datasets #475
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@ -553,7 +553,7 @@ def setup_gradio():
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TRAINING_SETTINGS["batch_size"] = gr.Number(label="Batch Size", value=128, precision=0)
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TRAINING_SETTINGS["batch_size"] = gr.Number(label="Batch Size", value=128, precision=0)
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TRAINING_SETTINGS["gradient_accumulation_size"] = gr.Number(label="Gradient Accumulation Size", value=4, precision=0)
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TRAINING_SETTINGS["gradient_accumulation_size"] = gr.Number(label="Gradient Accumulation Size", value=4, precision=0)
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with gr.Row():
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with gr.Row():
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TRAINING_SETTINGS["save_rate"] = gr.Number(label="Save Frequency (in epochs)", value=5, precision=0)
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TRAINING_SETTINGS["save_rate"] = gr.Number(label="Save Frequency (in epochs)", value=5, precision=2)
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TRAINING_SETTINGS["validation_rate"] = gr.Number(label="Validation Frequency (in epochs)", value=5, precision=0)
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TRAINING_SETTINGS["validation_rate"] = gr.Number(label="Validation Frequency (in epochs)", value=5, precision=0)
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with gr.Row():
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with gr.Row():
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