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+ {"config": {"optim_name": "AdamW 32-bit", "model_size": "Small", "n_epochs": 1, "limit_samples": true}, "elt": {"start_epoch": 1687960682.9612699, "train_dataset_size": 14732, "test_dataset_size": 819, "max_source_length": 255, "max_target_length": 50, "elasped_time": 8.253013134002686}, "train": {"start_epoch": 1687960691.214331, "verify_torch_installation": {"is_cuda_available": true, "cuda_device": "NVIDIA A10G"}, "trainable_parameters_summary": {"trainable_params": 688128, "all_params": 77649280, "trainable_params_pct": 0.008862001038515747}, "trainer_log": [{"loss": 2.0703, "learning_rate": 0.001, "epoch": 0.01, "step": 1}, {"loss": 2.0372, "learning_rate": 0.001, "epoch": 1.0, "step": 116}, {"train_runtime": 155.3363, "train_samples_per_second": 94.839, "train_steps_per_second": 0.747, "total_flos": 1384840660254720.0, "train_loss": 2.03749038844273, "epoch": 1.0, "step": 116}], "model_memory_footprint": 137843456, "cuda_memory_stats": {"active.all.allocated": 1133748, 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