Upload folder using huggingface_hub
Browse files- config.json +134 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- trainer_state.json +177 -0
- training_args.bin +3 -0
config.json
ADDED
|
@@ -0,0 +1,134 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "facebook/vit-mae-base",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"ViTForImageClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"decoder_hidden_size": 512,
|
| 8 |
+
"decoder_intermediate_size": 2048,
|
| 9 |
+
"decoder_num_attention_heads": 16,
|
| 10 |
+
"decoder_num_hidden_layers": 8,
|
| 11 |
+
"encoder_stride": 16,
|
| 12 |
+
"hidden_act": "gelu",
|
| 13 |
+
"hidden_dropout_prob": 0.0,
|
| 14 |
+
"hidden_size": 768,
|
| 15 |
+
"id2label": {
|
| 16 |
+
"0": "LABEL_0",
|
| 17 |
+
"1": "LABEL_1",
|
| 18 |
+
"2": "LABEL_2",
|
| 19 |
+
"3": "LABEL_3",
|
| 20 |
+
"4": "LABEL_4",
|
| 21 |
+
"5": "LABEL_5",
|
| 22 |
+
"6": "LABEL_6",
|
| 23 |
+
"7": "LABEL_7",
|
| 24 |
+
"8": "LABEL_8",
|
| 25 |
+
"9": "LABEL_9",
|
| 26 |
+
"10": "LABEL_10",
|
| 27 |
+
"11": "LABEL_11",
|
| 28 |
+
"12": "LABEL_12",
|
| 29 |
+
"13": "LABEL_13",
|
| 30 |
+
"14": "LABEL_14",
|
| 31 |
+
"15": "LABEL_15",
|
| 32 |
+
"16": "LABEL_16",
|
| 33 |
+
"17": "LABEL_17",
|
| 34 |
+
"18": "LABEL_18",
|
| 35 |
+
"19": "LABEL_19",
|
| 36 |
+
"20": "LABEL_20",
|
| 37 |
+
"21": "LABEL_21",
|
| 38 |
+
"22": "LABEL_22",
|
| 39 |
+
"23": "LABEL_23",
|
| 40 |
+
"24": "LABEL_24",
|
| 41 |
+
"25": "LABEL_25",
|
| 42 |
+
"26": "LABEL_26",
|
| 43 |
+
"27": "LABEL_27",
|
| 44 |
+
"28": "LABEL_28",
|
| 45 |
+
"29": "LABEL_29",
|
| 46 |
+
"30": "LABEL_30",
|
| 47 |
+
"31": "LABEL_31",
|
| 48 |
+
"32": "LABEL_32",
|
| 49 |
+
"33": "LABEL_33",
|
| 50 |
+
"34": "LABEL_34",
|
| 51 |
+
"35": "LABEL_35",
|
| 52 |
+
"36": "LABEL_36",
|
| 53 |
+
"37": "LABEL_37",
|
| 54 |
+
"38": "LABEL_38",
|
| 55 |
+
"39": "LABEL_39",
|
| 56 |
+
"40": "LABEL_40",
|
| 57 |
+
"41": "LABEL_41",
|
| 58 |
+
"42": "LABEL_42",
|
| 59 |
+
"43": "LABEL_43",
|
| 60 |
+
"44": "LABEL_44",
|
| 61 |
+
"45": "LABEL_45",
|
| 62 |
+
"46": "LABEL_46",
|
| 63 |
+
"47": "LABEL_47",
|
| 64 |
+
"48": "LABEL_48",
|
| 65 |
+
"49": "LABEL_49"
|
| 66 |
+
},
|
| 67 |
+
"image_size": 224,
|
| 68 |
+
"initializer_range": 0.02,
|
| 69 |
+
"intermediate_size": 3072,
|
| 70 |
+
"label2id": {
|
| 71 |
+
"LABEL_0": 0,
|
| 72 |
+
"LABEL_1": 1,
|
| 73 |
+
"LABEL_10": 10,
|
| 74 |
+
"LABEL_11": 11,
|
| 75 |
+
"LABEL_12": 12,
|
| 76 |
+
"LABEL_13": 13,
|
| 77 |
+
"LABEL_14": 14,
|
| 78 |
+
"LABEL_15": 15,
|
| 79 |
+
"LABEL_16": 16,
|
| 80 |
+
"LABEL_17": 17,
|
| 81 |
+
"LABEL_18": 18,
|
| 82 |
+
"LABEL_19": 19,
|
| 83 |
+
"LABEL_2": 2,
|
| 84 |
+
"LABEL_20": 20,
|
| 85 |
+
"LABEL_21": 21,
|
| 86 |
+
"LABEL_22": 22,
|
| 87 |
+
"LABEL_23": 23,
|
| 88 |
+
"LABEL_24": 24,
|
| 89 |
+
"LABEL_25": 25,
|
| 90 |
+
"LABEL_26": 26,
|
| 91 |
+
"LABEL_27": 27,
|
| 92 |
+
"LABEL_28": 28,
|
| 93 |
+
"LABEL_29": 29,
|
| 94 |
+
"LABEL_3": 3,
|
| 95 |
+
"LABEL_30": 30,
|
| 96 |
+
"LABEL_31": 31,
|
| 97 |
+
"LABEL_32": 32,
|
| 98 |
+
"LABEL_33": 33,
|
| 99 |
+
"LABEL_34": 34,
|
| 100 |
+
"LABEL_35": 35,
|
| 101 |
+
"LABEL_36": 36,
|
| 102 |
+
"LABEL_37": 37,
|
| 103 |
+
"LABEL_38": 38,
|
| 104 |
+
"LABEL_39": 39,
|
| 105 |
+
"LABEL_4": 4,
|
| 106 |
+
"LABEL_40": 40,
|
| 107 |
+
"LABEL_41": 41,
|
| 108 |
+
"LABEL_42": 42,
|
| 109 |
+
"LABEL_43": 43,
|
| 110 |
+
"LABEL_44": 44,
|
| 111 |
+
"LABEL_45": 45,
|
| 112 |
+
"LABEL_46": 46,
|
| 113 |
+
"LABEL_47": 47,
|
| 114 |
+
"LABEL_48": 48,
|
| 115 |
+
"LABEL_49": 49,
|
| 116 |
+
"LABEL_5": 5,
|
| 117 |
+
"LABEL_6": 6,
|
| 118 |
+
"LABEL_7": 7,
|
| 119 |
+
"LABEL_8": 8,
|
| 120 |
+
"LABEL_9": 9
|
| 121 |
+
},
|
| 122 |
+
"layer_norm_eps": 1e-12,
|
| 123 |
+
"mask_ratio": 0.75,
|
| 124 |
+
"model_type": "vit",
|
| 125 |
+
"norm_pix_loss": false,
|
| 126 |
+
"num_attention_heads": 12,
|
| 127 |
+
"num_channels": 3,
|
| 128 |
+
"num_hidden_layers": 12,
|
| 129 |
+
"patch_size": 16,
|
| 130 |
+
"problem_type": "single_label_classification",
|
| 131 |
+
"qkv_bias": true,
|
| 132 |
+
"torch_dtype": "float32",
|
| 133 |
+
"transformers_version": "4.44.0"
|
| 134 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d0b09e890325efd47ed2d564d6efe8e82387567b0fb5318b9cb0737cd838d7d5
|
| 3 |
+
size 343372760
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_normalize": true,
|
| 3 |
+
"do_rescale": true,
|
| 4 |
+
"do_resize": true,
|
| 5 |
+
"image_mean": [
|
| 6 |
+
0.485,
|
| 7 |
+
0.456,
|
| 8 |
+
0.406
|
| 9 |
+
],
|
| 10 |
+
"image_processor_type": "ViTImageProcessor",
|
| 11 |
+
"image_std": [
|
| 12 |
+
0.229,
|
| 13 |
+
0.224,
|
| 14 |
+
0.225
|
| 15 |
+
],
|
| 16 |
+
"resample": 2,
|
| 17 |
+
"rescale_factor": 0.00392156862745098,
|
| 18 |
+
"size": {
|
| 19 |
+
"height": 224,
|
| 20 |
+
"width": 224
|
| 21 |
+
}
|
| 22 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,177 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.7930666666666667,
|
| 3 |
+
"best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0399/checkpoints/checkpoint-2997",
|
| 4 |
+
"epoch": 9.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 2997,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 1.0,
|
| 13 |
+
"grad_norm": 4.108035564422607,
|
| 14 |
+
"learning_rate": 0.0003,
|
| 15 |
+
"loss": 1.8467,
|
| 16 |
+
"step": 333
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 1.0,
|
| 20 |
+
"eval_accuracy": 0.6957333333333333,
|
| 21 |
+
"eval_loss": 0.9857635498046875,
|
| 22 |
+
"eval_runtime": 5.7486,
|
| 23 |
+
"eval_samples_per_second": 652.337,
|
| 24 |
+
"eval_steps_per_second": 10.263,
|
| 25 |
+
"step": 333
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"epoch": 2.0,
|
| 29 |
+
"grad_norm": Infinity,
|
| 30 |
+
"learning_rate": 0.0003,
|
| 31 |
+
"loss": 0.7187,
|
| 32 |
+
"step": 666
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 2.0,
|
| 36 |
+
"eval_accuracy": 0.7898666666666667,
|
| 37 |
+
"eval_loss": 0.6947962045669556,
|
| 38 |
+
"eval_runtime": 5.7935,
|
| 39 |
+
"eval_samples_per_second": 647.276,
|
| 40 |
+
"eval_steps_per_second": 10.184,
|
| 41 |
+
"step": 666
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"epoch": 3.0,
|
| 45 |
+
"grad_norm": 6.667613983154297,
|
| 46 |
+
"learning_rate": 0.0003,
|
| 47 |
+
"loss": 0.431,
|
| 48 |
+
"step": 999
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 3.0,
|
| 52 |
+
"eval_accuracy": 0.7885333333333333,
|
| 53 |
+
"eval_loss": 0.6893866658210754,
|
| 54 |
+
"eval_runtime": 6.1522,
|
| 55 |
+
"eval_samples_per_second": 609.539,
|
| 56 |
+
"eval_steps_per_second": 9.59,
|
| 57 |
+
"step": 999
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 4.0,
|
| 61 |
+
"grad_norm": 17.746402740478516,
|
| 62 |
+
"learning_rate": 0.0003,
|
| 63 |
+
"loss": 0.299,
|
| 64 |
+
"step": 1332
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"epoch": 4.0,
|
| 68 |
+
"eval_accuracy": 0.7549333333333333,
|
| 69 |
+
"eval_loss": 0.8416933417320251,
|
| 70 |
+
"eval_runtime": 5.7497,
|
| 71 |
+
"eval_samples_per_second": 652.204,
|
| 72 |
+
"eval_steps_per_second": 10.261,
|
| 73 |
+
"step": 1332
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 5.0,
|
| 77 |
+
"grad_norm": 0.4448702335357666,
|
| 78 |
+
"learning_rate": 0.0003,
|
| 79 |
+
"loss": 0.228,
|
| 80 |
+
"step": 1665
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 5.0,
|
| 84 |
+
"eval_accuracy": 0.7858666666666667,
|
| 85 |
+
"eval_loss": 0.7561094760894775,
|
| 86 |
+
"eval_runtime": 5.6552,
|
| 87 |
+
"eval_samples_per_second": 663.109,
|
| 88 |
+
"eval_steps_per_second": 10.433,
|
| 89 |
+
"step": 1665
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 6.0,
|
| 93 |
+
"grad_norm": 4.781618595123291,
|
| 94 |
+
"learning_rate": 0.0003,
|
| 95 |
+
"loss": 0.1924,
|
| 96 |
+
"step": 1998
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 6.0,
|
| 100 |
+
"eval_accuracy": 0.7909333333333334,
|
| 101 |
+
"eval_loss": 0.7749009728431702,
|
| 102 |
+
"eval_runtime": 5.7554,
|
| 103 |
+
"eval_samples_per_second": 651.563,
|
| 104 |
+
"eval_steps_per_second": 10.251,
|
| 105 |
+
"step": 1998
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 7.0,
|
| 109 |
+
"grad_norm": 33.57717514038086,
|
| 110 |
+
"learning_rate": 0.0003,
|
| 111 |
+
"loss": 0.1637,
|
| 112 |
+
"step": 2331
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"epoch": 7.0,
|
| 116 |
+
"eval_accuracy": 0.7850666666666667,
|
| 117 |
+
"eval_loss": 0.8349209427833557,
|
| 118 |
+
"eval_runtime": 6.1206,
|
| 119 |
+
"eval_samples_per_second": 612.683,
|
| 120 |
+
"eval_steps_per_second": 9.64,
|
| 121 |
+
"step": 2331
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 8.0,
|
| 125 |
+
"grad_norm": 0.02094506472349167,
|
| 126 |
+
"learning_rate": 0.0003,
|
| 127 |
+
"loss": 0.1418,
|
| 128 |
+
"step": 2664
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 8.0,
|
| 132 |
+
"eval_accuracy": 0.7682666666666667,
|
| 133 |
+
"eval_loss": 0.9396815896034241,
|
| 134 |
+
"eval_runtime": 5.9164,
|
| 135 |
+
"eval_samples_per_second": 633.835,
|
| 136 |
+
"eval_steps_per_second": 9.972,
|
| 137 |
+
"step": 2664
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 9.0,
|
| 141 |
+
"grad_norm": 0.03026556596159935,
|
| 142 |
+
"learning_rate": 0.0003,
|
| 143 |
+
"loss": 0.1295,
|
| 144 |
+
"step": 2997
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 9.0,
|
| 148 |
+
"eval_accuracy": 0.7930666666666667,
|
| 149 |
+
"eval_loss": 0.8031014204025269,
|
| 150 |
+
"eval_runtime": 5.9717,
|
| 151 |
+
"eval_samples_per_second": 627.967,
|
| 152 |
+
"eval_steps_per_second": 9.88,
|
| 153 |
+
"step": 2997
|
| 154 |
+
}
|
| 155 |
+
],
|
| 156 |
+
"logging_steps": 500,
|
| 157 |
+
"max_steps": 2997,
|
| 158 |
+
"num_input_tokens_seen": 0,
|
| 159 |
+
"num_train_epochs": 9,
|
| 160 |
+
"save_steps": 500,
|
| 161 |
+
"stateful_callbacks": {
|
| 162 |
+
"TrainerControl": {
|
| 163 |
+
"args": {
|
| 164 |
+
"should_epoch_stop": false,
|
| 165 |
+
"should_evaluate": false,
|
| 166 |
+
"should_log": false,
|
| 167 |
+
"should_save": true,
|
| 168 |
+
"should_training_stop": true
|
| 169 |
+
},
|
| 170 |
+
"attributes": {}
|
| 171 |
+
}
|
| 172 |
+
},
|
| 173 |
+
"total_flos": 1.482671885603328e+19,
|
| 174 |
+
"train_batch_size": 64,
|
| 175 |
+
"trial_name": null,
|
| 176 |
+
"trial_params": null
|
| 177 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2926281022d9a61ddba0118984c567db530720b174db312aeb56bbb04dfbdda5
|
| 3 |
+
size 5368
|