e2am: batch upload 13 files (324095 KB)
Browse files- runs/tiny_imagenet/individual_methods/M3_grad_accum_only/checkpoints/checkpoint_last.pt +1 -1
- runs/tiny_imagenet/individual_methods/M3_grad_accum_only/classification_report.csv +203 -0
- runs/tiny_imagenet/individual_methods/M3_grad_accum_only/figures/accuracy_curve.png +2 -2
- runs/tiny_imagenet/individual_methods/M3_grad_accum_only/figures/accuracy_vs_energy.png +2 -2
- runs/tiny_imagenet/individual_methods/M3_grad_accum_only/figures/cumulative_energy.png +2 -2
- runs/tiny_imagenet/individual_methods/M3_grad_accum_only/figures/epoch_energy.png +2 -2
- runs/tiny_imagenet/individual_methods/M3_grad_accum_only/figures/gpu_power_trace.png +2 -2
- runs/tiny_imagenet/individual_methods/M3_grad_accum_only/figures/loss_curve.png +2 -2
- runs/tiny_imagenet/individual_methods/M3_grad_accum_only/final_model.pt +1 -1
- runs/tiny_imagenet/individual_methods/M3_grad_accum_only/gpu_power_trace.csv +0 -0
- runs/tiny_imagenet/individual_methods/M3_grad_accum_only/history.csv +9 -0
- runs/tiny_imagenet/individual_methods/M3_grad_accum_only/metrics_summary.json +26 -8
runs/tiny_imagenet/individual_methods/M3_grad_accum_only/checkpoints/checkpoint_last.pt
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runs/tiny_imagenet/individual_methods/M3_grad_accum_only/classification_report.csv
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"peak_vram_mb": 3383.490234375,
|
| 24 |
+
"num_parameters": 20433688,
|
| 25 |
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"nonzero_parameters": 20433688,
|
| 26 |
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"model_size_mb": 78.53614807128906,
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| 27 |
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"flops_or_macs": null,
|
| 28 |
"amp_enabled": false,
|
| 29 |
"scheduler": "none",
|
| 30 |
"gradient_accumulation_steps": 2,
|
|
|
|
| 32 |
"eag_enabled": false,
|
| 33 |
"batch_size": 64,
|
| 34 |
"image_size": 32,
|
| 35 |
+
"gpu_count": 2,
|
| 36 |
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"gpu_names": [
|
| 37 |
+
"Tesla T4",
|
| 38 |
+
"Tesla T4"
|
| 39 |
+
],
|
| 40 |
+
"cuda_version": "12.8",
|
| 41 |
+
"pytorch_version": "2.10.0+cu128",
|
| 42 |
+
"python_version": "3.12.12",
|
| 43 |
+
"status": "completed",
|
| 44 |
+
"completed_utc": "2026-05-21T08:38:23Z"
|
| 45 |
}
|