Upload image_classification.json
Browse files- image_classification.json +683 -0
image_classification.json
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| 1 |
+
{
|
| 2 |
+
"task_name": "image_classification",
|
| 3 |
+
"models": [
|
| 4 |
+
{
|
| 5 |
+
"model_name": "convnextpico",
|
| 6 |
+
"model_script_path": "/data/chl0045/project/benchmark_v2/models/convnextpico.py",
|
| 7 |
+
"runs": [
|
| 8 |
+
{
|
| 9 |
+
"dataset": "cifar10",
|
| 10 |
+
"model_id": "convnextpi_000",
|
| 11 |
+
"hardware": {
|
| 12 |
+
"gpu": "NVIDIA H100 NVL",
|
| 13 |
+
"training_time_hrs": 0.045935
|
| 14 |
+
},
|
| 15 |
+
"stage": "classification",
|
| 16 |
+
"base_model_name": "convnext_pico",
|
| 17 |
+
"base_model_path": null,
|
| 18 |
+
"config_path": "train/image_classification/convnextpico/config/cifar10.json",
|
| 19 |
+
"augmentation_path": null,
|
| 20 |
+
"hyperparams": {
|
| 21 |
+
"lr": 0.0005,
|
| 22 |
+
"optimizer": "adamw",
|
| 23 |
+
"weight_decay": 0.0001,
|
| 24 |
+
"batch_size": 256,
|
| 25 |
+
"epochs": 4,
|
| 26 |
+
"seed": 42,
|
| 27 |
+
"scheduler": "cosine_annealing",
|
| 28 |
+
"image_size": 224,
|
| 29 |
+
"input_channels": 3
|
| 30 |
+
},
|
| 31 |
+
"training_info": {
|
| 32 |
+
"best_epoch": 4,
|
| 33 |
+
"best_val_acc": 96.99,
|
| 34 |
+
"best_val_loss": 0.104373,
|
| 35 |
+
"total_params": 8537802,
|
| 36 |
+
"total_params_in_m": "8.537802M",
|
| 37 |
+
"trainable_params": 8537802,
|
| 38 |
+
"trainable_params_in_m": "8.537802M",
|
| 39 |
+
"embedding_params": null,
|
| 40 |
+
"embedding_params_in_m": null,
|
| 41 |
+
"non_embedding_params": null,
|
| 42 |
+
"non_embedding_params_in_m": null,
|
| 43 |
+
"epoch_logs": []
|
| 44 |
+
},
|
| 45 |
+
"ckpt_path": "zoo/cifar10/convnextpico/convnextpi_000.pth"
|
| 46 |
+
}
|
| 47 |
+
]
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"model_name": "mobilenetlarge",
|
| 51 |
+
"model_script_path": "/data/chl0045/project/benchmark_v2/models/mobilenetlarge.py",
|
| 52 |
+
"runs": [
|
| 53 |
+
{
|
| 54 |
+
"dataset": "cifar10",
|
| 55 |
+
"model_id": "mobilenetl_000",
|
| 56 |
+
"hardware": {
|
| 57 |
+
"gpu": "NVIDIA H100 NVL",
|
| 58 |
+
"training_time_hrs": 0.034388
|
| 59 |
+
},
|
| 60 |
+
"stage": "classification",
|
| 61 |
+
"base_model_name": "mobilenetv3_large_100",
|
| 62 |
+
"base_model_path": null,
|
| 63 |
+
"config_path": "train/image_classification/mobilenetlarge/config/cifar10.json",
|
| 64 |
+
"augmentation_path": null,
|
| 65 |
+
"hyperparams": {
|
| 66 |
+
"lr": 0.0005,
|
| 67 |
+
"optimizer": "adamw",
|
| 68 |
+
"weight_decay": 0.0001,
|
| 69 |
+
"batch_size": 256,
|
| 70 |
+
"epochs": 5,
|
| 71 |
+
"seed": 42,
|
| 72 |
+
"scheduler": "cosine_annealing",
|
| 73 |
+
"image_size": 224,
|
| 74 |
+
"input_channels": 3
|
| 75 |
+
},
|
| 76 |
+
"training_info": {
|
| 77 |
+
"best_epoch": 4,
|
| 78 |
+
"best_val_acc": 95.53,
|
| 79 |
+
"best_val_loss": 0.181964,
|
| 80 |
+
"total_params": 4214842,
|
| 81 |
+
"total_params_in_m": "4.214842M",
|
| 82 |
+
"trainable_params": 4214842,
|
| 83 |
+
"trainable_params_in_m": "4.214842M",
|
| 84 |
+
"embedding_params": null,
|
| 85 |
+
"embedding_params_in_m": null,
|
| 86 |
+
"non_embedding_params": null,
|
| 87 |
+
"non_embedding_params_in_m": null,
|
| 88 |
+
"epoch_logs": []
|
| 89 |
+
},
|
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