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luca0621/mmpae-1p5B-e260-2gpu-bs128-lr5e5-b2000
mmpae-1p5B-e260-2gpu-bs128-lr5e5-b2000 is a machine learning model from luca0621. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
Checkpoint and evaluation artifacts for mmpae-1p5B-e260-2gpu-bs128-lr5e5-b2000.
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Updated Jun 29, 2026
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From the Hugging Face model README
Checkpoint and evaluation artifacts for mmpae-1p5B-e260-2gpu-bs128-lr5e5-b2000.
configs/Inverse_CwA_1p5B.yaml/data/polyone_tokenized/data/polyBERT{
"actual_params": 1495526443,
"best_checkpoint_path": "/data/runs/mmpae-1p5B-e260-2gpu-bs128-lr5e5-b2000/Checkpoint_BEST.pt",
"checkpoint_path": "/data/runs/mmpae-1p5B-e260-2gpu-bs128-lr5e5-b2000/Polyone_AE_0260.pt",
"epoch": 260,
"epochs": 260,
"eval": {
"ce_loss": 0.06199822479529171,
"contrast_loss": 1.667678924016235,
"eos_loss": 0.004588520026621823,
"eval_batches": 1954,
"eval_seconds": 2812.8629097938538,
"infer_batches": 10,
"infer_samples": 1280,
"infer_seconds": 61.243648052215576,
"inv_r2": 0.8862593219244033,
"inv_rmse": 0.31655585015420434,
"mse_loss": 1.1142550623587724,
"prop_r2": 0.9547484576702118,
"prop_rmse": 0.20580836683511733,
"sim_score": 0.5962892207249391,
"total_loss": 3446.84535515589,
"validity": 0.97734375
},
"exp_id": "mmpae-1p5B-e260-2gpu-bs128-lr5e5-b2000",
"experiment_plan_metrics": {
"Actual params from log": 1495526443,
"Best Prop R2 \u2191": 0.9547484576702118,
"Best Prop RMSE \u2193": 0.20580836683511733,
"Exp ID": "mmpae-1p5B-e260-2gpu-bs128-lr5e5-b2000",
"Final ce_loss": 0.06199822479529171,
"Final contrast_loss": 1.667678924016235,
"Final epoch": 260,
"Final mse_loss": 1.1142550623587724,
"Final total_loss": 3446.84535515589,
"Notes": "infer_steps=10, eval_steps=None",
"Peak GPU memory": 94621.39013671875,
"Run directory": "/data/runs/mmpae-1p5B-e260-2gpu-bs128-lr5e5-b2000",
"Runtime": "56h 56m 25s",
"Tanimoto \u2191": 0.5962892207249391,
"Target R2 \u2191": 0.8862593219244033,
"Target RMSE \u2193": 0.31655585015420434,
"Validity \u2191": 0.97734375
},
"global_step": 266240,
"is_best": false,
"peak_gpu_memory_mb": 94621.39013671875,
"phase": "Eval",
"runtime": "56h 56m 25s",
"runtime_seconds": 204985.66281485558,
"score": 0.569703471770199,
"train": {
"ce_loss": 0.09326180632342584,
"contrast_loss": 0.8654914498329163,
"eos_loss": 0.011635430310889205,
"grad_norm": Infinity,
"mse_loss": 2.242397526046261,
"total_loss": 1955.3159149885178
}
}