Upload folder using huggingface_hub
Browse files- checkpoint-4290/config.json +68 -0
- checkpoint-4290/optimizer.pt +3 -0
- checkpoint-4290/preprocessor_config.json +22 -0
- checkpoint-4290/pytorch_model.bin +3 -0
- checkpoint-4290/rng_state.pth +3 -0
- checkpoint-4290/scheduler.pt +3 -0
- checkpoint-4290/trainer_state.json +337 -0
- checkpoint-4290/training_args.bin +3 -0
- config.json +68 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
checkpoint-4290/config.json
ADDED
|
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "google/vit-base-patch16-224-in21k",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"ViTForImageClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"encoder_stride": 16,
|
| 8 |
+
"hidden_act": "gelu",
|
| 9 |
+
"hidden_dropout_prob": 0.0,
|
| 10 |
+
"hidden_size": 768,
|
| 11 |
+
"id2label": {
|
| 12 |
+
"0": "BERET",
|
| 13 |
+
"1": "FEDORA",
|
| 14 |
+
"2": "SOMBERO",
|
| 15 |
+
"3": "HARD HAT",
|
| 16 |
+
"4": "FEZ",
|
| 17 |
+
"5": "ZUCCHETTO",
|
| 18 |
+
"6": "TOP HAT",
|
| 19 |
+
"7": "DEERSTALKER",
|
| 20 |
+
"8": "ASCOT CAP",
|
| 21 |
+
"9": "PORK PIE",
|
| 22 |
+
"10": "MILITARY HELMET",
|
| 23 |
+
"11": "BICORNE",
|
| 24 |
+
"12": "FOOTBALL HELMET",
|
| 25 |
+
"13": "MOTARBOARD",
|
| 26 |
+
"14": "BOATER",
|
| 27 |
+
"15": "PITH HELMET",
|
| 28 |
+
"16": "SOUTHWESTER",
|
| 29 |
+
"17": "BOWLER",
|
| 30 |
+
"18": "GARRISON CAP",
|
| 31 |
+
"19": "BASEBALL CAP"
|
| 32 |
+
},
|
| 33 |
+
"image_size": 224,
|
| 34 |
+
"initializer_range": 0.02,
|
| 35 |
+
"intermediate_size": 3072,
|
| 36 |
+
"label2id": {
|
| 37 |
+
"ASCOT CAP": 8,
|
| 38 |
+
"BASEBALL CAP": 19,
|
| 39 |
+
"BERET": 0,
|
| 40 |
+
"BICORNE": 11,
|
| 41 |
+
"BOATER": 14,
|
| 42 |
+
"BOWLER": 17,
|
| 43 |
+
"DEERSTALKER": 7,
|
| 44 |
+
"FEDORA": 1,
|
| 45 |
+
"FEZ": 4,
|
| 46 |
+
"FOOTBALL HELMET": 12,
|
| 47 |
+
"GARRISON CAP": 18,
|
| 48 |
+
"HARD HAT": 3,
|
| 49 |
+
"MILITARY HELMET": 10,
|
| 50 |
+
"MOTARBOARD": 13,
|
| 51 |
+
"PITH HELMET": 15,
|
| 52 |
+
"PORK PIE": 9,
|
| 53 |
+
"SOMBERO": 2,
|
| 54 |
+
"SOUTHWESTER": 16,
|
| 55 |
+
"TOP HAT": 6,
|
| 56 |
+
"ZUCCHETTO": 5
|
| 57 |
+
},
|
| 58 |
+
"layer_norm_eps": 1e-12,
|
| 59 |
+
"model_type": "vit",
|
| 60 |
+
"num_attention_heads": 12,
|
| 61 |
+
"num_channels": 3,
|
| 62 |
+
"num_hidden_layers": 12,
|
| 63 |
+
"patch_size": 16,
|
| 64 |
+
"problem_type": "single_label_classification",
|
| 65 |
+
"qkv_bias": true,
|
| 66 |
+
"torch_dtype": "float32",
|
| 67 |
+
"transformers_version": "4.34.0"
|
| 68 |
+
}
|
checkpoint-4290/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e38291240d3b759aa381c5c5a78ef761998ca5030a0b6152ac30bd78226a0213
|
| 3 |
+
size 686679173
|
checkpoint-4290/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 |
+
0.5,
|
| 7 |
+
0.5,
|
| 8 |
+
0.5
|
| 9 |
+
],
|
| 10 |
+
"image_processor_type": "ViTImageProcessor",
|
| 11 |
+
"image_std": [
|
| 12 |
+
0.5,
|
| 13 |
+
0.5,
|
| 14 |
+
0.5
|
| 15 |
+
],
|
| 16 |
+
"resample": 2,
|
| 17 |
+
"rescale_factor": 0.00392156862745098,
|
| 18 |
+
"size": {
|
| 19 |
+
"height": 224,
|
| 20 |
+
"width": 224
|
| 21 |
+
}
|
| 22 |
+
}
|
checkpoint-4290/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c3a0f88e7bf7027cd15866b067f7b1747e7191c3bc12e1b5ec41503aa2fdbf6f
|
| 3 |
+
size 343324077
|
checkpoint-4290/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0099c1f1d1a737d7f23d5523c3755f2e9160fd9baf25632e497472a3b25a3396
|
| 3 |
+
size 14575
|
checkpoint-4290/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff76794a033f83a5aaa36a36aa98832b3d0441aa151b4696fc7f3907908be790
|
| 3 |
+
size 627
|
checkpoint-4290/trainer_state.json
ADDED
|
@@ -0,0 +1,337 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.21256890892982483,
|
| 3 |
+
"best_model_checkpoint": "headgear_image_detection/checkpoint-4290",
|
| 4 |
+
"epoch": 30.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 4290,
|
| 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 |
+
"eval_accuracy": 0.7290209790209791,
|
| 14 |
+
"eval_loss": 2.6553964614868164,
|
| 15 |
+
"eval_runtime": 10.0273,
|
| 16 |
+
"eval_samples_per_second": 114.088,
|
| 17 |
+
"eval_steps_per_second": 14.261,
|
| 18 |
+
"step": 143
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"epoch": 2.0,
|
| 22 |
+
"eval_accuracy": 0.902972027972028,
|
| 23 |
+
"eval_loss": 2.1697092056274414,
|
| 24 |
+
"eval_runtime": 9.9469,
|
| 25 |
+
"eval_samples_per_second": 115.01,
|
| 26 |
+
"eval_steps_per_second": 14.376,
|
| 27 |
+
"step": 286
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 3.0,
|
| 31 |
+
"eval_accuracy": 0.9187062937062938,
|
| 32 |
+
"eval_loss": 1.7559250593185425,
|
| 33 |
+
"eval_runtime": 9.8134,
|
| 34 |
+
"eval_samples_per_second": 116.575,
|
| 35 |
+
"eval_steps_per_second": 14.572,
|
| 36 |
+
"step": 429
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"epoch": 3.5,
|
| 40 |
+
"learning_rate": 8.938679245283019e-06,
|
| 41 |
+
"loss": 2.2545,
|
| 42 |
+
"step": 500
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"epoch": 4.0,
|
| 46 |
+
"eval_accuracy": 0.9344405594405595,
|
| 47 |
+
"eval_loss": 1.4289305210113525,
|
| 48 |
+
"eval_runtime": 9.811,
|
| 49 |
+
"eval_samples_per_second": 116.603,
|
| 50 |
+
"eval_steps_per_second": 14.575,
|
| 51 |
+
"step": 572
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 5.0,
|
| 55 |
+
"eval_accuracy": 0.9519230769230769,
|
| 56 |
+
"eval_loss": 1.18740975856781,
|
| 57 |
+
"eval_runtime": 9.8832,
|
| 58 |
+
"eval_samples_per_second": 115.752,
|
| 59 |
+
"eval_steps_per_second": 14.469,
|
| 60 |
+
"step": 715
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 6.0,
|
| 64 |
+
"eval_accuracy": 0.958041958041958,
|
| 65 |
+
"eval_loss": 0.9960336685180664,
|
| 66 |
+
"eval_runtime": 9.778,
|
| 67 |
+
"eval_samples_per_second": 116.997,
|
| 68 |
+
"eval_steps_per_second": 14.625,
|
| 69 |
+
"step": 858
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 6.99,
|
| 73 |
+
"learning_rate": 7.75943396226415e-06,
|
| 74 |
+
"loss": 1.0623,
|
| 75 |
+
"step": 1000
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 7.0,
|
| 79 |
+
"eval_accuracy": 0.958916083916084,
|
| 80 |
+
"eval_loss": 0.8572256565093994,
|
| 81 |
+
"eval_runtime": 9.8908,
|
| 82 |
+
"eval_samples_per_second": 115.664,
|
| 83 |
+
"eval_steps_per_second": 14.458,
|
| 84 |
+
"step": 1001
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 8.0,
|
| 88 |
+
"eval_accuracy": 0.9641608391608392,
|
| 89 |
+
"eval_loss": 0.7423418760299683,
|
| 90 |
+
"eval_runtime": 9.8887,
|
| 91 |
+
"eval_samples_per_second": 115.687,
|
| 92 |
+
"eval_steps_per_second": 14.461,
|
| 93 |
+
"step": 1144
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 9.0,
|
| 97 |
+
"eval_accuracy": 0.965034965034965,
|
| 98 |
+
"eval_loss": 0.6517500281333923,
|
| 99 |
+
"eval_runtime": 9.8492,
|
| 100 |
+
"eval_samples_per_second": 116.152,
|
| 101 |
+
"eval_steps_per_second": 14.519,
|
| 102 |
+
"step": 1287
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 10.0,
|
| 106 |
+
"eval_accuracy": 0.9729020979020979,
|
| 107 |
+
"eval_loss": 0.5715993046760559,
|
| 108 |
+
"eval_runtime": 9.9888,
|
| 109 |
+
"eval_samples_per_second": 114.528,
|
| 110 |
+
"eval_steps_per_second": 14.316,
|
| 111 |
+
"step": 1430
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 10.49,
|
| 115 |
+
"learning_rate": 6.580188679245284e-06,
|
| 116 |
+
"loss": 0.5734,
|
| 117 |
+
"step": 1500
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 11.0,
|
| 121 |
+
"eval_accuracy": 0.9711538461538461,
|
| 122 |
+
"eval_loss": 0.5096693634986877,
|
| 123 |
+
"eval_runtime": 9.806,
|
| 124 |
+
"eval_samples_per_second": 116.663,
|
| 125 |
+
"eval_steps_per_second": 14.583,
|
| 126 |
+
"step": 1573
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"epoch": 12.0,
|
| 130 |
+
"eval_accuracy": 0.9772727272727273,
|
| 131 |
+
"eval_loss": 0.4560704827308655,
|
| 132 |
+
"eval_runtime": 9.9786,
|
| 133 |
+
"eval_samples_per_second": 114.645,
|
| 134 |
+
"eval_steps_per_second": 14.331,
|
| 135 |
+
"step": 1716
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 13.0,
|
| 139 |
+
"eval_accuracy": 0.9790209790209791,
|
| 140 |
+
"eval_loss": 0.4156966507434845,
|
| 141 |
+
"eval_runtime": 9.8265,
|
| 142 |
+
"eval_samples_per_second": 116.42,
|
| 143 |
+
"eval_steps_per_second": 14.552,
|
| 144 |
+
"step": 1859
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 13.99,
|
| 148 |
+
"learning_rate": 5.400943396226416e-06,
|
| 149 |
+
"loss": 0.3549,
|
| 150 |
+
"step": 2000
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 14.0,
|
| 154 |
+
"eval_accuracy": 0.9790209790209791,
|
| 155 |
+
"eval_loss": 0.381658136844635,
|
| 156 |
+
"eval_runtime": 9.8934,
|
| 157 |
+
"eval_samples_per_second": 115.633,
|
| 158 |
+
"eval_steps_per_second": 14.454,
|
| 159 |
+
"step": 2002
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 15.0,
|
| 163 |
+
"eval_accuracy": 0.9755244755244755,
|
| 164 |
+
"eval_loss": 0.35159438848495483,
|
| 165 |
+
"eval_runtime": 9.8102,
|
| 166 |
+
"eval_samples_per_second": 116.614,
|
| 167 |
+
"eval_steps_per_second": 14.577,
|
| 168 |
+
"step": 2145
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 16.0,
|
| 172 |
+
"eval_accuracy": 0.9807692307692307,
|
| 173 |
+
"eval_loss": 0.3298424482345581,
|
| 174 |
+
"eval_runtime": 9.7878,
|
| 175 |
+
"eval_samples_per_second": 116.88,
|
| 176 |
+
"eval_steps_per_second": 14.61,
|
| 177 |
+
"step": 2288
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 17.0,
|
| 181 |
+
"eval_accuracy": 0.9798951048951049,
|
| 182 |
+
"eval_loss": 0.30800941586494446,
|
| 183 |
+
"eval_runtime": 9.9164,
|
| 184 |
+
"eval_samples_per_second": 115.364,
|
| 185 |
+
"eval_steps_per_second": 14.42,
|
| 186 |
+
"step": 2431
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 17.48,
|
| 190 |
+
"learning_rate": 4.221698113207548e-06,
|
| 191 |
+
"loss": 0.2461,
|
| 192 |
+
"step": 2500
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 18.0,
|
| 196 |
+
"eval_accuracy": 0.9790209790209791,
|
| 197 |
+
"eval_loss": 0.288138210773468,
|
| 198 |
+
"eval_runtime": 9.933,
|
| 199 |
+
"eval_samples_per_second": 115.172,
|
| 200 |
+
"eval_steps_per_second": 14.396,
|
| 201 |
+
"step": 2574
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 19.0,
|
| 205 |
+
"eval_accuracy": 0.9781468531468531,
|
| 206 |
+
"eval_loss": 0.2730049192905426,
|
| 207 |
+
"eval_runtime": 10.0234,
|
| 208 |
+
"eval_samples_per_second": 114.133,
|
| 209 |
+
"eval_steps_per_second": 14.267,
|
| 210 |
+
"step": 2717
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 20.0,
|
| 214 |
+
"eval_accuracy": 0.9816433566433567,
|
| 215 |
+
"eval_loss": 0.26286110281944275,
|
| 216 |
+
"eval_runtime": 9.8422,
|
| 217 |
+
"eval_samples_per_second": 116.234,
|
| 218 |
+
"eval_steps_per_second": 14.529,
|
| 219 |
+
"step": 2860
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 20.98,
|
| 223 |
+
"learning_rate": 3.04245283018868e-06,
|
| 224 |
+
"loss": 0.186,
|
| 225 |
+
"step": 3000
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 21.0,
|
| 229 |
+
"eval_accuracy": 0.9746503496503497,
|
| 230 |
+
"eval_loss": 0.2534734904766083,
|
| 231 |
+
"eval_runtime": 9.9699,
|
| 232 |
+
"eval_samples_per_second": 114.745,
|
| 233 |
+
"eval_steps_per_second": 14.343,
|
| 234 |
+
"step": 3003
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 22.0,
|
| 238 |
+
"eval_accuracy": 0.9772727272727273,
|
| 239 |
+
"eval_loss": 0.24190376698970795,
|
| 240 |
+
"eval_runtime": 9.9761,
|
| 241 |
+
"eval_samples_per_second": 114.674,
|
| 242 |
+
"eval_steps_per_second": 14.334,
|
| 243 |
+
"step": 3146
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 23.0,
|
| 247 |
+
"eval_accuracy": 0.9772727272727273,
|
| 248 |
+
"eval_loss": 0.23993928730487823,
|
| 249 |
+
"eval_runtime": 10.0017,
|
| 250 |
+
"eval_samples_per_second": 114.38,
|
| 251 |
+
"eval_steps_per_second": 14.298,
|
| 252 |
+
"step": 3289
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"epoch": 24.0,
|
| 256 |
+
"eval_accuracy": 0.9816433566433567,
|
| 257 |
+
"eval_loss": 0.2285631150007248,
|
| 258 |
+
"eval_runtime": 9.8472,
|
| 259 |
+
"eval_samples_per_second": 116.175,
|
| 260 |
+
"eval_steps_per_second": 14.522,
|
| 261 |
+
"step": 3432
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 24.48,
|
| 265 |
+
"learning_rate": 1.8632075471698114e-06,
|
| 266 |
+
"loss": 0.154,
|
| 267 |
+
"step": 3500
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 25.0,
|
| 271 |
+
"eval_accuracy": 0.9807692307692307,
|
| 272 |
+
"eval_loss": 0.22374440729618073,
|
| 273 |
+
"eval_runtime": 9.8249,
|
| 274 |
+
"eval_samples_per_second": 116.439,
|
| 275 |
+
"eval_steps_per_second": 14.555,
|
| 276 |
+
"step": 3575
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 26.0,
|
| 280 |
+
"eval_accuracy": 0.9790209790209791,
|
| 281 |
+
"eval_loss": 0.22004003822803497,
|
| 282 |
+
"eval_runtime": 9.8649,
|
| 283 |
+
"eval_samples_per_second": 115.967,
|
| 284 |
+
"eval_steps_per_second": 14.496,
|
| 285 |
+
"step": 3718
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 27.0,
|
| 289 |
+
"eval_accuracy": 0.9781468531468531,
|
| 290 |
+
"eval_loss": 0.21849653124809265,
|
| 291 |
+
"eval_runtime": 9.8212,
|
| 292 |
+
"eval_samples_per_second": 116.482,
|
| 293 |
+
"eval_steps_per_second": 14.56,
|
| 294 |
+
"step": 3861
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 27.97,
|
| 298 |
+
"learning_rate": 6.839622641509434e-07,
|
| 299 |
+
"loss": 0.1372,
|
| 300 |
+
"step": 4000
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 28.0,
|
| 304 |
+
"eval_accuracy": 0.9781468531468531,
|
| 305 |
+
"eval_loss": 0.21514995396137238,
|
| 306 |
+
"eval_runtime": 10.0429,
|
| 307 |
+
"eval_samples_per_second": 113.912,
|
| 308 |
+
"eval_steps_per_second": 14.239,
|
| 309 |
+
"step": 4004
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 29.0,
|
| 313 |
+
"eval_accuracy": 0.9790209790209791,
|
| 314 |
+
"eval_loss": 0.21269026398658752,
|
| 315 |
+
"eval_runtime": 9.7945,
|
| 316 |
+
"eval_samples_per_second": 116.8,
|
| 317 |
+
"eval_steps_per_second": 14.6,
|
| 318 |
+
"step": 4147
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 30.0,
|
| 322 |
+
"eval_accuracy": 0.9798951048951049,
|
| 323 |
+
"eval_loss": 0.21256890892982483,
|
| 324 |
+
"eval_runtime": 9.7553,
|
| 325 |
+
"eval_samples_per_second": 117.269,
|
| 326 |
+
"eval_steps_per_second": 14.659,
|
| 327 |
+
"step": 4290
|
| 328 |
+
}
|
| 329 |
+
],
|
| 330 |
+
"logging_steps": 500,
|
| 331 |
+
"max_steps": 4290,
|
| 332 |
+
"num_train_epochs": 30,
|
| 333 |
+
"save_steps": 500,
|
| 334 |
+
"total_flos": 1.063981656100307e+19,
|
| 335 |
+
"trial_name": null,
|
| 336 |
+
"trial_params": null
|
| 337 |
+
}
|
checkpoint-4290/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:432f4adc9e2e11aa00b13ad8f6af5abb8e2fc897ec0d203b60fc0b7d2ca6a8d3
|
| 3 |
+
size 4027
|
config.json
ADDED
|
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "google/vit-base-patch16-224-in21k",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"ViTForImageClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"encoder_stride": 16,
|
| 8 |
+
"hidden_act": "gelu",
|
| 9 |
+
"hidden_dropout_prob": 0.0,
|
| 10 |
+
"hidden_size": 768,
|
| 11 |
+
"id2label": {
|
| 12 |
+
"0": "BERET",
|
| 13 |
+
"1": "FEDORA",
|
| 14 |
+
"2": "SOMBERO",
|
| 15 |
+
"3": "HARD HAT",
|
| 16 |
+
"4": "FEZ",
|
| 17 |
+
"5": "ZUCCHETTO",
|
| 18 |
+
"6": "TOP HAT",
|
| 19 |
+
"7": "DEERSTALKER",
|
| 20 |
+
"8": "ASCOT CAP",
|
| 21 |
+
"9": "PORK PIE",
|
| 22 |
+
"10": "MILITARY HELMET",
|
| 23 |
+
"11": "BICORNE",
|
| 24 |
+
"12": "FOOTBALL HELMET",
|
| 25 |
+
"13": "MOTARBOARD",
|
| 26 |
+
"14": "BOATER",
|
| 27 |
+
"15": "PITH HELMET",
|
| 28 |
+
"16": "SOUTHWESTER",
|
| 29 |
+
"17": "BOWLER",
|
| 30 |
+
"18": "GARRISON CAP",
|
| 31 |
+
"19": "BASEBALL CAP"
|
| 32 |
+
},
|
| 33 |
+
"image_size": 224,
|
| 34 |
+
"initializer_range": 0.02,
|
| 35 |
+
"intermediate_size": 3072,
|
| 36 |
+
"label2id": {
|
| 37 |
+
"ASCOT CAP": 8,
|
| 38 |
+
"BASEBALL CAP": 19,
|
| 39 |
+
"BERET": 0,
|
| 40 |
+
"BICORNE": 11,
|
| 41 |
+
"BOATER": 14,
|
| 42 |
+
"BOWLER": 17,
|
| 43 |
+
"DEERSTALKER": 7,
|
| 44 |
+
"FEDORA": 1,
|
| 45 |
+
"FEZ": 4,
|
| 46 |
+
"FOOTBALL HELMET": 12,
|
| 47 |
+
"GARRISON CAP": 18,
|
| 48 |
+
"HARD HAT": 3,
|
| 49 |
+
"MILITARY HELMET": 10,
|
| 50 |
+
"MOTARBOARD": 13,
|
| 51 |
+
"PITH HELMET": 15,
|
| 52 |
+
"PORK PIE": 9,
|
| 53 |
+
"SOMBERO": 2,
|
| 54 |
+
"SOUTHWESTER": 16,
|
| 55 |
+
"TOP HAT": 6,
|
| 56 |
+
"ZUCCHETTO": 5
|
| 57 |
+
},
|
| 58 |
+
"layer_norm_eps": 1e-12,
|
| 59 |
+
"model_type": "vit",
|
| 60 |
+
"num_attention_heads": 12,
|
| 61 |
+
"num_channels": 3,
|
| 62 |
+
"num_hidden_layers": 12,
|
| 63 |
+
"patch_size": 16,
|
| 64 |
+
"problem_type": "single_label_classification",
|
| 65 |
+
"qkv_bias": true,
|
| 66 |
+
"torch_dtype": "float32",
|
| 67 |
+
"transformers_version": "4.34.0"
|
| 68 |
+
}
|
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 |
+
0.5,
|
| 7 |
+
0.5,
|
| 8 |
+
0.5
|
| 9 |
+
],
|
| 10 |
+
"image_processor_type": "ViTImageProcessor",
|
| 11 |
+
"image_std": [
|
| 12 |
+
0.5,
|
| 13 |
+
0.5,
|
| 14 |
+
0.5
|
| 15 |
+
],
|
| 16 |
+
"resample": 2,
|
| 17 |
+
"rescale_factor": 0.00392156862745098,
|
| 18 |
+
"size": {
|
| 19 |
+
"height": 224,
|
| 20 |
+
"width": 224
|
| 21 |
+
}
|
| 22 |
+
}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c3a0f88e7bf7027cd15866b067f7b1747e7191c3bc12e1b5ec41503aa2fdbf6f
|
| 3 |
+
size 343324077
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:432f4adc9e2e11aa00b13ad8f6af5abb8e2fc897ec0d203b60fc0b7d2ca6a8d3
|
| 3 |
+
size 4027
|