Upload folder using huggingface_hub

run_transformers_training.py

@@ -1040,7 +1040,7 @@ def main():
                     log_info("Cleared CUDA cache before training")
                 
                 # Display compact training info
-                total_steps = int(len(dataset) / (per_device_batch_size * NUM_GPUS * gradient_accumulation_steps) * training_args.num_train_epochs
+                total_steps = int((len(dataset) / (per_device_batch_size * NUM_GPUS * gradient_accumulation_steps)) * training_args.num_train_epochs)
                 log_info(f"Training plan: {len(dataset)} examples over {training_args.num_train_epochs} epochs ≈ {total_steps} steps")
                 
                 trainer.train()