Upload folder using huggingface_hub
Browse files- checkpoint-7500/config.json +49 -0
- checkpoint-7500/model.safetensors +3 -0
- checkpoint-7500/optimizer.pt +3 -0
- checkpoint-7500/preprocessor_config.json +22 -0
- checkpoint-7500/rng_state.pth +3 -0
- checkpoint-7500/scheduler.pt +3 -0
- checkpoint-7500/trainer_state.json +228 -0
- checkpoint-7500/training_args.bin +3 -0
- config.json +49 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- training_args.bin +3 -0
checkpoint-7500/config.json
ADDED
|
@@ -0,0 +1,49 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "microsoft/resnet-50",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"ResNetForImageClassification"
|
| 5 |
+
],
|
| 6 |
+
"depths": [
|
| 7 |
+
3,
|
| 8 |
+
4,
|
| 9 |
+
6,
|
| 10 |
+
3
|
| 11 |
+
],
|
| 12 |
+
"downsample_in_bottleneck": false,
|
| 13 |
+
"downsample_in_first_stage": false,
|
| 14 |
+
"embedding_size": 64,
|
| 15 |
+
"hidden_act": "relu",
|
| 16 |
+
"hidden_sizes": [
|
| 17 |
+
256,
|
| 18 |
+
512,
|
| 19 |
+
1024,
|
| 20 |
+
2048
|
| 21 |
+
],
|
| 22 |
+
"id2label": {
|
| 23 |
+
"0": "REAL",
|
| 24 |
+
"1": "FAKE"
|
| 25 |
+
},
|
| 26 |
+
"label2id": {
|
| 27 |
+
"FAKE": 1,
|
| 28 |
+
"REAL": 0
|
| 29 |
+
},
|
| 30 |
+
"layer_type": "bottleneck",
|
| 31 |
+
"model_type": "resnet",
|
| 32 |
+
"num_channels": 3,
|
| 33 |
+
"out_features": [
|
| 34 |
+
"stage4"
|
| 35 |
+
],
|
| 36 |
+
"out_indices": [
|
| 37 |
+
4
|
| 38 |
+
],
|
| 39 |
+
"problem_type": "single_label_classification",
|
| 40 |
+
"stage_names": [
|
| 41 |
+
"stem",
|
| 42 |
+
"stage1",
|
| 43 |
+
"stage2",
|
| 44 |
+
"stage3",
|
| 45 |
+
"stage4"
|
| 46 |
+
],
|
| 47 |
+
"torch_dtype": "float32",
|
| 48 |
+
"transformers_version": "4.46.3"
|
| 49 |
+
}
|
checkpoint-7500/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cf62ea6589fd6fffa30eb1b6c4775d2da8de65e0d420602960f4d0f3397833a6
|
| 3 |
+
size 94302952
|
checkpoint-7500/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:79b06917d169c78c07f067154c978b9ad049c66c21276043a4c242183466172a
|
| 3 |
+
size 188232069
|
checkpoint-7500/preprocessor_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"crop_pct": 0.875,
|
| 3 |
+
"do_normalize": true,
|
| 4 |
+
"do_rescale": true,
|
| 5 |
+
"do_resize": true,
|
| 6 |
+
"image_mean": [
|
| 7 |
+
0.485,
|
| 8 |
+
0.456,
|
| 9 |
+
0.406
|
| 10 |
+
],
|
| 11 |
+
"image_processor_type": "ConvNextImageProcessor",
|
| 12 |
+
"image_std": [
|
| 13 |
+
0.229,
|
| 14 |
+
0.224,
|
| 15 |
+
0.225
|
| 16 |
+
],
|
| 17 |
+
"resample": 3,
|
| 18 |
+
"rescale_factor": 0.00392156862745098,
|
| 19 |
+
"size": {
|
| 20 |
+
"shortest_edge": 224
|
| 21 |
+
}
|
| 22 |
+
}
|
checkpoint-7500/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eee0230b2c12193aee2a6065ebea9716d1a04774e36706870db386bc09f5b46a
|
| 3 |
+
size 14575
|
checkpoint-7500/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:52b897a14b185f898bec0403b570c6911a55c32f85bd4eab59ba2ffbbd8a7b0e
|
| 3 |
+
size 627
|
checkpoint-7500/trainer_state.json
ADDED
|
@@ -0,0 +1,228 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.16018521785736084,
|
| 3 |
+
"best_model_checkpoint": "resnet50_4a_10_epoch_lr1e5/checkpoint-7500",
|
| 4 |
+
"epoch": 10.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 7500,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.6666666666666666,
|
| 13 |
+
"grad_norm": 3.5805983543395996,
|
| 14 |
+
"learning_rate": 9.395973154362416e-06,
|
| 15 |
+
"loss": 0.6553,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 1.0,
|
| 20 |
+
"eval_accuracy": 0.821875,
|
| 21 |
+
"eval_loss": 0.5155154466629028,
|
| 22 |
+
"eval_runtime": 225.7918,
|
| 23 |
+
"eval_samples_per_second": 106.293,
|
| 24 |
+
"eval_steps_per_second": 1.661,
|
| 25 |
+
"step": 750
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"epoch": 1.3333333333333333,
|
| 29 |
+
"grad_norm": 6.772037506103516,
|
| 30 |
+
"learning_rate": 8.724832214765101e-06,
|
| 31 |
+
"loss": 0.5278,
|
| 32 |
+
"step": 1000
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 2.0,
|
| 36 |
+
"grad_norm": 7.1797895431518555,
|
| 37 |
+
"learning_rate": 8.053691275167785e-06,
|
| 38 |
+
"loss": 0.3857,
|
| 39 |
+
"step": 1500
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 2.0,
|
| 43 |
+
"eval_accuracy": 0.879,
|
| 44 |
+
"eval_loss": 0.3160336911678314,
|
| 45 |
+
"eval_runtime": 100.4203,
|
| 46 |
+
"eval_samples_per_second": 238.996,
|
| 47 |
+
"eval_steps_per_second": 3.734,
|
| 48 |
+
"step": 1500
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 2.6666666666666665,
|
| 52 |
+
"grad_norm": 8.779245376586914,
|
| 53 |
+
"learning_rate": 7.382550335570471e-06,
|
| 54 |
+
"loss": 0.3047,
|
| 55 |
+
"step": 2000
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 3.0,
|
| 59 |
+
"eval_accuracy": 0.9075,
|
| 60 |
+
"eval_loss": 0.23712438344955444,
|
| 61 |
+
"eval_runtime": 80.6725,
|
| 62 |
+
"eval_samples_per_second": 297.499,
|
| 63 |
+
"eval_steps_per_second": 4.648,
|
| 64 |
+
"step": 2250
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"epoch": 3.3333333333333335,
|
| 68 |
+
"grad_norm": 9.758003234863281,
|
| 69 |
+
"learning_rate": 6.711409395973155e-06,
|
| 70 |
+
"loss": 0.2559,
|
| 71 |
+
"step": 2500
|
| 72 |
+
},
|
| 73 |
+
{
|
| 74 |
+
"epoch": 4.0,
|
| 75 |
+
"grad_norm": 7.47396993637085,
|
| 76 |
+
"learning_rate": 6.04026845637584e-06,
|
| 77 |
+
"loss": 0.2298,
|
| 78 |
+
"step": 3000
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"epoch": 4.0,
|
| 82 |
+
"eval_accuracy": 0.9228333333333333,
|
| 83 |
+
"eval_loss": 0.20199613273143768,
|
| 84 |
+
"eval_runtime": 82.1236,
|
| 85 |
+
"eval_samples_per_second": 292.242,
|
| 86 |
+
"eval_steps_per_second": 4.566,
|
| 87 |
+
"step": 3000
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 4.666666666666667,
|
| 91 |
+
"grad_norm": 10.239446640014648,
|
| 92 |
+
"learning_rate": 5.369127516778524e-06,
|
| 93 |
+
"loss": 0.2128,
|
| 94 |
+
"step": 3500
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 5.0,
|
| 98 |
+
"eval_accuracy": 0.929,
|
| 99 |
+
"eval_loss": 0.18368670344352722,
|
| 100 |
+
"eval_runtime": 82.6514,
|
| 101 |
+
"eval_samples_per_second": 290.376,
|
| 102 |
+
"eval_steps_per_second": 4.537,
|
| 103 |
+
"step": 3750
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"epoch": 5.333333333333333,
|
| 107 |
+
"grad_norm": 7.634970188140869,
|
| 108 |
+
"learning_rate": 4.697986577181208e-06,
|
| 109 |
+
"loss": 0.2004,
|
| 110 |
+
"step": 4000
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 6.0,
|
| 114 |
+
"grad_norm": 8.229543685913086,
|
| 115 |
+
"learning_rate": 4.026845637583892e-06,
|
| 116 |
+
"loss": 0.1918,
|
| 117 |
+
"step": 4500
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 6.0,
|
| 121 |
+
"eval_accuracy": 0.9323333333333333,
|
| 122 |
+
"eval_loss": 0.17339174449443817,
|
| 123 |
+
"eval_runtime": 79.5022,
|
| 124 |
+
"eval_samples_per_second": 301.879,
|
| 125 |
+
"eval_steps_per_second": 4.717,
|
| 126 |
+
"step": 4500
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"epoch": 6.666666666666667,
|
| 130 |
+
"grad_norm": 8.368539810180664,
|
| 131 |
+
"learning_rate": 3.3557046979865777e-06,
|
| 132 |
+
"loss": 0.1848,
|
| 133 |
+
"step": 5000
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"epoch": 7.0,
|
| 137 |
+
"eval_accuracy": 0.934,
|
| 138 |
+
"eval_loss": 0.16669026017189026,
|
| 139 |
+
"eval_runtime": 89.8115,
|
| 140 |
+
"eval_samples_per_second": 267.226,
|
| 141 |
+
"eval_steps_per_second": 4.175,
|
| 142 |
+
"step": 5250
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 7.333333333333333,
|
| 146 |
+
"grad_norm": 5.3287739753723145,
|
| 147 |
+
"learning_rate": 2.684563758389262e-06,
|
| 148 |
+
"loss": 0.181,
|
| 149 |
+
"step": 5500
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 8.0,
|
| 153 |
+
"grad_norm": 12.32608413696289,
|
| 154 |
+
"learning_rate": 2.013422818791946e-06,
|
| 155 |
+
"loss": 0.176,
|
| 156 |
+
"step": 6000
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 8.0,
|
| 160 |
+
"eval_accuracy": 0.9349583333333333,
|
| 161 |
+
"eval_loss": 0.16361936926841736,
|
| 162 |
+
"eval_runtime": 90.7398,
|
| 163 |
+
"eval_samples_per_second": 264.493,
|
| 164 |
+
"eval_steps_per_second": 4.133,
|
| 165 |
+
"step": 6000
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 8.666666666666666,
|
| 169 |
+
"grad_norm": 10.940423011779785,
|
| 170 |
+
"learning_rate": 1.342281879194631e-06,
|
| 171 |
+
"loss": 0.1763,
|
| 172 |
+
"step": 6500
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 9.0,
|
| 176 |
+
"eval_accuracy": 0.9363333333333334,
|
| 177 |
+
"eval_loss": 0.16042540967464447,
|
| 178 |
+
"eval_runtime": 78.9099,
|
| 179 |
+
"eval_samples_per_second": 304.144,
|
| 180 |
+
"eval_steps_per_second": 4.752,
|
| 181 |
+
"step": 6750
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 9.333333333333334,
|
| 185 |
+
"grad_norm": 8.731983184814453,
|
| 186 |
+
"learning_rate": 6.711409395973155e-07,
|
| 187 |
+
"loss": 0.1731,
|
| 188 |
+
"step": 7000
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 10.0,
|
| 192 |
+
"grad_norm": 8.042535781860352,
|
| 193 |
+
"learning_rate": 0.0,
|
| 194 |
+
"loss": 0.1721,
|
| 195 |
+
"step": 7500
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 10.0,
|
| 199 |
+
"eval_accuracy": 0.9371666666666667,
|
| 200 |
+
"eval_loss": 0.16018521785736084,
|
| 201 |
+
"eval_runtime": 83.7677,
|
| 202 |
+
"eval_samples_per_second": 286.507,
|
| 203 |
+
"eval_steps_per_second": 4.477,
|
| 204 |
+
"step": 7500
|
| 205 |
+
}
|
| 206 |
+
],
|
| 207 |
+
"logging_steps": 500,
|
| 208 |
+
"max_steps": 7500,
|
| 209 |
+
"num_input_tokens_seen": 0,
|
| 210 |
+
"num_train_epochs": 10,
|
| 211 |
+
"save_steps": 500,
|
| 212 |
+
"stateful_callbacks": {
|
| 213 |
+
"TrainerControl": {
|
| 214 |
+
"args": {
|
| 215 |
+
"should_epoch_stop": false,
|
| 216 |
+
"should_evaluate": false,
|
| 217 |
+
"should_log": false,
|
| 218 |
+
"should_save": true,
|
| 219 |
+
"should_training_stop": true
|
| 220 |
+
},
|
| 221 |
+
"attributes": {}
|
| 222 |
+
}
|
| 223 |
+
},
|
| 224 |
+
"total_flos": 2.03859872907264e+19,
|
| 225 |
+
"train_batch_size": 128,
|
| 226 |
+
"trial_name": null,
|
| 227 |
+
"trial_params": null
|
| 228 |
+
}
|
checkpoint-7500/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:287fad1ffef17e2aafacc82d0cfe262754323d2a083c87bc80b84ff891d06b22
|
| 3 |
+
size 4795
|
config.json
ADDED
|
@@ -0,0 +1,49 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "microsoft/resnet-50",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"ResNetForImageClassification"
|
| 5 |
+
],
|
| 6 |
+
"depths": [
|
| 7 |
+
3,
|
| 8 |
+
4,
|
| 9 |
+
6,
|
| 10 |
+
3
|
| 11 |
+
],
|
| 12 |
+
"downsample_in_bottleneck": false,
|
| 13 |
+
"downsample_in_first_stage": false,
|
| 14 |
+
"embedding_size": 64,
|
| 15 |
+
"hidden_act": "relu",
|
| 16 |
+
"hidden_sizes": [
|
| 17 |
+
256,
|
| 18 |
+
512,
|
| 19 |
+
1024,
|
| 20 |
+
2048
|
| 21 |
+
],
|
| 22 |
+
"id2label": {
|
| 23 |
+
"0": "REAL",
|
| 24 |
+
"1": "FAKE"
|
| 25 |
+
},
|
| 26 |
+
"label2id": {
|
| 27 |
+
"FAKE": 1,
|
| 28 |
+
"REAL": 0
|
| 29 |
+
},
|
| 30 |
+
"layer_type": "bottleneck",
|
| 31 |
+
"model_type": "resnet",
|
| 32 |
+
"num_channels": 3,
|
| 33 |
+
"out_features": [
|
| 34 |
+
"stage4"
|
| 35 |
+
],
|
| 36 |
+
"out_indices": [
|
| 37 |
+
4
|
| 38 |
+
],
|
| 39 |
+
"problem_type": "single_label_classification",
|
| 40 |
+
"stage_names": [
|
| 41 |
+
"stem",
|
| 42 |
+
"stage1",
|
| 43 |
+
"stage2",
|
| 44 |
+
"stage3",
|
| 45 |
+
"stage4"
|
| 46 |
+
],
|
| 47 |
+
"torch_dtype": "float32",
|
| 48 |
+
"transformers_version": "4.46.3"
|
| 49 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cf62ea6589fd6fffa30eb1b6c4775d2da8de65e0d420602960f4d0f3397833a6
|
| 3 |
+
size 94302952
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"crop_pct": 0.875,
|
| 3 |
+
"do_normalize": true,
|
| 4 |
+
"do_rescale": true,
|
| 5 |
+
"do_resize": true,
|
| 6 |
+
"image_mean": [
|
| 7 |
+
0.485,
|
| 8 |
+
0.456,
|
| 9 |
+
0.406
|
| 10 |
+
],
|
| 11 |
+
"image_processor_type": "ConvNextImageProcessor",
|
| 12 |
+
"image_std": [
|
| 13 |
+
0.229,
|
| 14 |
+
0.224,
|
| 15 |
+
0.225
|
| 16 |
+
],
|
| 17 |
+
"resample": 3,
|
| 18 |
+
"rescale_factor": 0.00392156862745098,
|
| 19 |
+
"size": {
|
| 20 |
+
"shortest_edge": 224
|
| 21 |
+
}
|
| 22 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:287fad1ffef17e2aafacc82d0cfe262754323d2a083c87bc80b84ff891d06b22
|
| 3 |
+
size 4795
|