Model save
Browse files- checkpoint-80/config.json +0 -80
- checkpoint-80/optimizer.pt +0 -3
- checkpoint-80/pytorch_model.bin +0 -3
- checkpoint-80/rng_state.pth +0 -3
- checkpoint-80/scheduler.pt +0 -3
- checkpoint-80/trainer_state.json +0 -632
- checkpoint-80/training_args.bin +0 -3
- runs/Feb12_06-52-20_robovision.csres.utexas.edu/events.out.tfevents.1707742347.robovision.csres.utexas.edu.2754155.0 +2 -2
checkpoint-80/config.json
DELETED
|
@@ -1,80 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"_name_or_path": "nvidia/mit-b0",
|
| 3 |
-
"architectures": [
|
| 4 |
-
"SegformerForSemanticSegmentation"
|
| 5 |
-
],
|
| 6 |
-
"attention_probs_dropout_prob": 0.0,
|
| 7 |
-
"classifier_dropout_prob": 0.1,
|
| 8 |
-
"decoder_hidden_size": 256,
|
| 9 |
-
"depths": [
|
| 10 |
-
2,
|
| 11 |
-
2,
|
| 12 |
-
2,
|
| 13 |
-
2
|
| 14 |
-
],
|
| 15 |
-
"downsampling_rates": [
|
| 16 |
-
1,
|
| 17 |
-
4,
|
| 18 |
-
8,
|
| 19 |
-
16
|
| 20 |
-
],
|
| 21 |
-
"drop_path_rate": 0.1,
|
| 22 |
-
"hidden_act": "gelu",
|
| 23 |
-
"hidden_dropout_prob": 0.0,
|
| 24 |
-
"hidden_sizes": [
|
| 25 |
-
32,
|
| 26 |
-
64,
|
| 27 |
-
160,
|
| 28 |
-
256
|
| 29 |
-
],
|
| 30 |
-
"id2label": {
|
| 31 |
-
"0": "unlabeled",
|
| 32 |
-
"1": "dropoff",
|
| 33 |
-
"2": "undropoff"
|
| 34 |
-
},
|
| 35 |
-
"image_size": 224,
|
| 36 |
-
"initializer_range": 0.02,
|
| 37 |
-
"label2id": {
|
| 38 |
-
"dropoff": 1,
|
| 39 |
-
"undropoff": 2,
|
| 40 |
-
"unlabeled": 0
|
| 41 |
-
},
|
| 42 |
-
"layer_norm_eps": 1e-06,
|
| 43 |
-
"mlp_ratios": [
|
| 44 |
-
4,
|
| 45 |
-
4,
|
| 46 |
-
4,
|
| 47 |
-
4
|
| 48 |
-
],
|
| 49 |
-
"model_type": "segformer",
|
| 50 |
-
"num_attention_heads": [
|
| 51 |
-
1,
|
| 52 |
-
2,
|
| 53 |
-
5,
|
| 54 |
-
8
|
| 55 |
-
],
|
| 56 |
-
"num_channels": 6,
|
| 57 |
-
"num_encoder_blocks": 4,
|
| 58 |
-
"patch_sizes": [
|
| 59 |
-
7,
|
| 60 |
-
3,
|
| 61 |
-
3,
|
| 62 |
-
3
|
| 63 |
-
],
|
| 64 |
-
"reshape_last_stage": true,
|
| 65 |
-
"semantic_loss_ignore_index": 255,
|
| 66 |
-
"sr_ratios": [
|
| 67 |
-
8,
|
| 68 |
-
4,
|
| 69 |
-
2,
|
| 70 |
-
1
|
| 71 |
-
],
|
| 72 |
-
"strides": [
|
| 73 |
-
4,
|
| 74 |
-
2,
|
| 75 |
-
2,
|
| 76 |
-
2
|
| 77 |
-
],
|
| 78 |
-
"torch_dtype": "float32",
|
| 79 |
-
"transformers_version": "4.30.2"
|
| 80 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
checkpoint-80/optimizer.pt
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:65b82c985f9d3a270f5f125c282749a3427c8313bf5239e882f0d96673f762a2
|
| 3 |
-
size 29876485
|
|
|
|
|
|
|
|
|
|
|
|
checkpoint-80/pytorch_model.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:fb1d892e1d5ec4bb9d58d904de05ef40a0b98eb63fa433a74838ef5873be602d
|
| 3 |
-
size 14951629
|
|
|
|
|
|
|
|
|
|
|
|
checkpoint-80/rng_state.pth
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:e142622719e232eb12d7b433f8592aba5196ab4d7b70ff2447c2807d90abb4c0
|
| 3 |
-
size 14575
|
|
|
|
|
|
|
|
|
|
|
|
checkpoint-80/scheduler.pt
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:fb3ae06283feb48c9993c4045e28b8c739174f0a4d9120ec9b1739a320ca3118
|
| 3 |
-
size 627
|
|
|
|
|
|
|
|
|
|
|
|
checkpoint-80/trainer_state.json
DELETED
|
@@ -1,632 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"best_metric": 0.6321617364883423,
|
| 3 |
-
"best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/dropoff-utcustom-train-SF-RGBD-b0_1/checkpoint-80",
|
| 4 |
-
"epoch": 40.0,
|
| 5 |
-
"global_step": 80,
|
| 6 |
-
"is_hyper_param_search": false,
|
| 7 |
-
"is_local_process_zero": true,
|
| 8 |
-
"is_world_process_zero": true,
|
| 9 |
-
"log_history": [
|
| 10 |
-
{
|
| 11 |
-
"epoch": 0.5,
|
| 12 |
-
"learning_rate": 1.6666666666666667e-06,
|
| 13 |
-
"loss": 1.0746,
|
| 14 |
-
"step": 1
|
| 15 |
-
},
|
| 16 |
-
{
|
| 17 |
-
"epoch": 1.0,
|
| 18 |
-
"learning_rate": 3.3333333333333333e-06,
|
| 19 |
-
"loss": 1.0748,
|
| 20 |
-
"step": 2
|
| 21 |
-
},
|
| 22 |
-
{
|
| 23 |
-
"epoch": 1.5,
|
| 24 |
-
"learning_rate": 5e-06,
|
| 25 |
-
"loss": 1.0693,
|
| 26 |
-
"step": 3
|
| 27 |
-
},
|
| 28 |
-
{
|
| 29 |
-
"epoch": 2.0,
|
| 30 |
-
"learning_rate": 6.666666666666667e-06,
|
| 31 |
-
"loss": 1.0764,
|
| 32 |
-
"step": 4
|
| 33 |
-
},
|
| 34 |
-
{
|
| 35 |
-
"epoch": 2.5,
|
| 36 |
-
"learning_rate": 8.333333333333334e-06,
|
| 37 |
-
"loss": 1.0684,
|
| 38 |
-
"step": 5
|
| 39 |
-
},
|
| 40 |
-
{
|
| 41 |
-
"epoch": 3.0,
|
| 42 |
-
"learning_rate": 1e-05,
|
| 43 |
-
"loss": 1.0649,
|
| 44 |
-
"step": 6
|
| 45 |
-
},
|
| 46 |
-
{
|
| 47 |
-
"epoch": 3.5,
|
| 48 |
-
"learning_rate": 1.1666666666666668e-05,
|
| 49 |
-
"loss": 1.0601,
|
| 50 |
-
"step": 7
|
| 51 |
-
},
|
| 52 |
-
{
|
| 53 |
-
"epoch": 4.0,
|
| 54 |
-
"learning_rate": 1.3333333333333333e-05,
|
| 55 |
-
"loss": 1.0556,
|
| 56 |
-
"step": 8
|
| 57 |
-
},
|
| 58 |
-
{
|
| 59 |
-
"epoch": 4.5,
|
| 60 |
-
"learning_rate": 1.5000000000000002e-05,
|
| 61 |
-
"loss": 1.0471,
|
| 62 |
-
"step": 9
|
| 63 |
-
},
|
| 64 |
-
{
|
| 65 |
-
"epoch": 5.0,
|
| 66 |
-
"learning_rate": 1.6666666666666667e-05,
|
| 67 |
-
"loss": 1.0495,
|
| 68 |
-
"step": 10
|
| 69 |
-
},
|
| 70 |
-
{
|
| 71 |
-
"epoch": 5.0,
|
| 72 |
-
"eval_accuracy_dropoff": 0.20262391339250901,
|
| 73 |
-
"eval_accuracy_undropoff": 0.5118628585529819,
|
| 74 |
-
"eval_accuracy_unlabeled": NaN,
|
| 75 |
-
"eval_iou_dropoff": 0.047444479293322045,
|
| 76 |
-
"eval_iou_undropoff": 0.5081086334840771,
|
| 77 |
-
"eval_iou_unlabeled": 0.0,
|
| 78 |
-
"eval_loss": 1.0889850854873657,
|
| 79 |
-
"eval_mean_accuracy": 0.3572433859727454,
|
| 80 |
-
"eval_mean_iou": 0.18518437092579973,
|
| 81 |
-
"eval_overall_accuracy": 0.4990049362182617,
|
| 82 |
-
"eval_runtime": 2.7639,
|
| 83 |
-
"eval_samples_per_second": 7.236,
|
| 84 |
-
"eval_steps_per_second": 0.724,
|
| 85 |
-
"step": 10
|
| 86 |
-
},
|
| 87 |
-
{
|
| 88 |
-
"epoch": 5.5,
|
| 89 |
-
"learning_rate": 1.8333333333333333e-05,
|
| 90 |
-
"loss": 1.0418,
|
| 91 |
-
"step": 11
|
| 92 |
-
},
|
| 93 |
-
{
|
| 94 |
-
"epoch": 6.0,
|
| 95 |
-
"learning_rate": 2e-05,
|
| 96 |
-
"loss": 1.0375,
|
| 97 |
-
"step": 12
|
| 98 |
-
},
|
| 99 |
-
{
|
| 100 |
-
"epoch": 6.5,
|
| 101 |
-
"learning_rate": 1.9912280701754387e-05,
|
| 102 |
-
"loss": 1.034,
|
| 103 |
-
"step": 13
|
| 104 |
-
},
|
| 105 |
-
{
|
| 106 |
-
"epoch": 7.0,
|
| 107 |
-
"learning_rate": 1.9824561403508773e-05,
|
| 108 |
-
"loss": 1.0282,
|
| 109 |
-
"step": 14
|
| 110 |
-
},
|
| 111 |
-
{
|
| 112 |
-
"epoch": 7.5,
|
| 113 |
-
"learning_rate": 1.9736842105263158e-05,
|
| 114 |
-
"loss": 1.0212,
|
| 115 |
-
"step": 15
|
| 116 |
-
},
|
| 117 |
-
{
|
| 118 |
-
"epoch": 8.0,
|
| 119 |
-
"learning_rate": 1.9649122807017544e-05,
|
| 120 |
-
"loss": 1.0081,
|
| 121 |
-
"step": 16
|
| 122 |
-
},
|
| 123 |
-
{
|
| 124 |
-
"epoch": 8.5,
|
| 125 |
-
"learning_rate": 1.9561403508771933e-05,
|
| 126 |
-
"loss": 1.0061,
|
| 127 |
-
"step": 17
|
| 128 |
-
},
|
| 129 |
-
{
|
| 130 |
-
"epoch": 9.0,
|
| 131 |
-
"learning_rate": 1.9473684210526318e-05,
|
| 132 |
-
"loss": 1.0027,
|
| 133 |
-
"step": 18
|
| 134 |
-
},
|
| 135 |
-
{
|
| 136 |
-
"epoch": 9.5,
|
| 137 |
-
"learning_rate": 1.9385964912280704e-05,
|
| 138 |
-
"loss": 0.9979,
|
| 139 |
-
"step": 19
|
| 140 |
-
},
|
| 141 |
-
{
|
| 142 |
-
"epoch": 10.0,
|
| 143 |
-
"learning_rate": 1.929824561403509e-05,
|
| 144 |
-
"loss": 0.9941,
|
| 145 |
-
"step": 20
|
| 146 |
-
},
|
| 147 |
-
{
|
| 148 |
-
"epoch": 10.0,
|
| 149 |
-
"eval_accuracy_dropoff": 0.8224913415445309,
|
| 150 |
-
"eval_accuracy_undropoff": 0.8489730610750296,
|
| 151 |
-
"eval_accuracy_unlabeled": NaN,
|
| 152 |
-
"eval_iou_dropoff": 0.19307967569325465,
|
| 153 |
-
"eval_iou_undropoff": 0.8424968366811092,
|
| 154 |
-
"eval_iou_unlabeled": 0.0,
|
| 155 |
-
"eval_loss": 1.0478662252426147,
|
| 156 |
-
"eval_mean_accuracy": 0.8357322013097802,
|
| 157 |
-
"eval_mean_iou": 0.34519217079145464,
|
| 158 |
-
"eval_overall_accuracy": 0.847871971130371,
|
| 159 |
-
"eval_runtime": 2.9295,
|
| 160 |
-
"eval_samples_per_second": 6.827,
|
| 161 |
-
"eval_steps_per_second": 0.683,
|
| 162 |
-
"step": 20
|
| 163 |
-
},
|
| 164 |
-
{
|
| 165 |
-
"epoch": 10.5,
|
| 166 |
-
"learning_rate": 1.9210526315789474e-05,
|
| 167 |
-
"loss": 0.9861,
|
| 168 |
-
"step": 21
|
| 169 |
-
},
|
| 170 |
-
{
|
| 171 |
-
"epoch": 11.0,
|
| 172 |
-
"learning_rate": 1.912280701754386e-05,
|
| 173 |
-
"loss": 0.9817,
|
| 174 |
-
"step": 22
|
| 175 |
-
},
|
| 176 |
-
{
|
| 177 |
-
"epoch": 11.5,
|
| 178 |
-
"learning_rate": 1.9035087719298245e-05,
|
| 179 |
-
"loss": 0.9781,
|
| 180 |
-
"step": 23
|
| 181 |
-
},
|
| 182 |
-
{
|
| 183 |
-
"epoch": 12.0,
|
| 184 |
-
"learning_rate": 1.894736842105263e-05,
|
| 185 |
-
"loss": 0.9729,
|
| 186 |
-
"step": 24
|
| 187 |
-
},
|
| 188 |
-
{
|
| 189 |
-
"epoch": 12.5,
|
| 190 |
-
"learning_rate": 1.885964912280702e-05,
|
| 191 |
-
"loss": 0.9669,
|
| 192 |
-
"step": 25
|
| 193 |
-
},
|
| 194 |
-
{
|
| 195 |
-
"epoch": 13.0,
|
| 196 |
-
"learning_rate": 1.8771929824561405e-05,
|
| 197 |
-
"loss": 0.9634,
|
| 198 |
-
"step": 26
|
| 199 |
-
},
|
| 200 |
-
{
|
| 201 |
-
"epoch": 13.5,
|
| 202 |
-
"learning_rate": 1.868421052631579e-05,
|
| 203 |
-
"loss": 0.9642,
|
| 204 |
-
"step": 27
|
| 205 |
-
},
|
| 206 |
-
{
|
| 207 |
-
"epoch": 14.0,
|
| 208 |
-
"learning_rate": 1.8596491228070176e-05,
|
| 209 |
-
"loss": 0.9586,
|
| 210 |
-
"step": 28
|
| 211 |
-
},
|
| 212 |
-
{
|
| 213 |
-
"epoch": 14.5,
|
| 214 |
-
"learning_rate": 1.8508771929824562e-05,
|
| 215 |
-
"loss": 0.9559,
|
| 216 |
-
"step": 29
|
| 217 |
-
},
|
| 218 |
-
{
|
| 219 |
-
"epoch": 15.0,
|
| 220 |
-
"learning_rate": 1.8421052631578947e-05,
|
| 221 |
-
"loss": 0.9448,
|
| 222 |
-
"step": 30
|
| 223 |
-
},
|
| 224 |
-
{
|
| 225 |
-
"epoch": 15.0,
|
| 226 |
-
"eval_accuracy_dropoff": 0.7351131906695108,
|
| 227 |
-
"eval_accuracy_undropoff": 0.9082392930385471,
|
| 228 |
-
"eval_accuracy_unlabeled": NaN,
|
| 229 |
-
"eval_iou_dropoff": 0.23901293122734799,
|
| 230 |
-
"eval_iou_undropoff": 0.8979626128799195,
|
| 231 |
-
"eval_iou_unlabeled": 0.0,
|
| 232 |
-
"eval_loss": 0.9838544130325317,
|
| 233 |
-
"eval_mean_accuracy": 0.8216762418540289,
|
| 234 |
-
"eval_mean_iou": 0.37899184803575586,
|
| 235 |
-
"eval_overall_accuracy": 0.9010408401489258,
|
| 236 |
-
"eval_runtime": 3.1655,
|
| 237 |
-
"eval_samples_per_second": 6.318,
|
| 238 |
-
"eval_steps_per_second": 0.632,
|
| 239 |
-
"step": 30
|
| 240 |
-
},
|
| 241 |
-
{
|
| 242 |
-
"epoch": 15.5,
|
| 243 |
-
"learning_rate": 1.8333333333333333e-05,
|
| 244 |
-
"loss": 0.9406,
|
| 245 |
-
"step": 31
|
| 246 |
-
},
|
| 247 |
-
{
|
| 248 |
-
"epoch": 16.0,
|
| 249 |
-
"learning_rate": 1.824561403508772e-05,
|
| 250 |
-
"loss": 0.9378,
|
| 251 |
-
"step": 32
|
| 252 |
-
},
|
| 253 |
-
{
|
| 254 |
-
"epoch": 16.5,
|
| 255 |
-
"learning_rate": 1.8157894736842107e-05,
|
| 256 |
-
"loss": 0.935,
|
| 257 |
-
"step": 33
|
| 258 |
-
},
|
| 259 |
-
{
|
| 260 |
-
"epoch": 17.0,
|
| 261 |
-
"learning_rate": 1.8070175438596493e-05,
|
| 262 |
-
"loss": 0.9249,
|
| 263 |
-
"step": 34
|
| 264 |
-
},
|
| 265 |
-
{
|
| 266 |
-
"epoch": 17.5,
|
| 267 |
-
"learning_rate": 1.7982456140350878e-05,
|
| 268 |
-
"loss": 0.9162,
|
| 269 |
-
"step": 35
|
| 270 |
-
},
|
| 271 |
-
{
|
| 272 |
-
"epoch": 18.0,
|
| 273 |
-
"learning_rate": 1.7894736842105264e-05,
|
| 274 |
-
"loss": 0.9153,
|
| 275 |
-
"step": 36
|
| 276 |
-
},
|
| 277 |
-
{
|
| 278 |
-
"epoch": 18.5,
|
| 279 |
-
"learning_rate": 1.780701754385965e-05,
|
| 280 |
-
"loss": 0.8983,
|
| 281 |
-
"step": 37
|
| 282 |
-
},
|
| 283 |
-
{
|
| 284 |
-
"epoch": 19.0,
|
| 285 |
-
"learning_rate": 1.7719298245614035e-05,
|
| 286 |
-
"loss": 0.918,
|
| 287 |
-
"step": 38
|
| 288 |
-
},
|
| 289 |
-
{
|
| 290 |
-
"epoch": 19.5,
|
| 291 |
-
"learning_rate": 1.763157894736842e-05,
|
| 292 |
-
"loss": 0.9107,
|
| 293 |
-
"step": 39
|
| 294 |
-
},
|
| 295 |
-
{
|
| 296 |
-
"epoch": 20.0,
|
| 297 |
-
"learning_rate": 1.754385964912281e-05,
|
| 298 |
-
"loss": 0.8912,
|
| 299 |
-
"step": 40
|
| 300 |
-
},
|
| 301 |
-
{
|
| 302 |
-
"epoch": 20.0,
|
| 303 |
-
"eval_accuracy_dropoff": 0.4863276680657813,
|
| 304 |
-
"eval_accuracy_undropoff": 0.9437063733796893,
|
| 305 |
-
"eval_accuracy_unlabeled": NaN,
|
| 306 |
-
"eval_iou_dropoff": 0.23034404840794775,
|
| 307 |
-
"eval_iou_undropoff": 0.9232710241069885,
|
| 308 |
-
"eval_iou_unlabeled": 0.0,
|
| 309 |
-
"eval_loss": 0.9041398763656616,
|
| 310 |
-
"eval_mean_accuracy": 0.7150170207227353,
|
| 311 |
-
"eval_mean_iou": 0.3845383575049787,
|
| 312 |
-
"eval_overall_accuracy": 0.9246889114379883,
|
| 313 |
-
"eval_runtime": 2.9597,
|
| 314 |
-
"eval_samples_per_second": 6.757,
|
| 315 |
-
"eval_steps_per_second": 0.676,
|
| 316 |
-
"step": 40
|
| 317 |
-
},
|
| 318 |
-
{
|
| 319 |
-
"epoch": 20.5,
|
| 320 |
-
"learning_rate": 1.7456140350877195e-05,
|
| 321 |
-
"loss": 0.8927,
|
| 322 |
-
"step": 41
|
| 323 |
-
},
|
| 324 |
-
{
|
| 325 |
-
"epoch": 21.0,
|
| 326 |
-
"learning_rate": 1.736842105263158e-05,
|
| 327 |
-
"loss": 0.8849,
|
| 328 |
-
"step": 42
|
| 329 |
-
},
|
| 330 |
-
{
|
| 331 |
-
"epoch": 21.5,
|
| 332 |
-
"learning_rate": 1.7280701754385966e-05,
|
| 333 |
-
"loss": 0.8909,
|
| 334 |
-
"step": 43
|
| 335 |
-
},
|
| 336 |
-
{
|
| 337 |
-
"epoch": 22.0,
|
| 338 |
-
"learning_rate": 1.719298245614035e-05,
|
| 339 |
-
"loss": 0.8779,
|
| 340 |
-
"step": 44
|
| 341 |
-
},
|
| 342 |
-
{
|
| 343 |
-
"epoch": 22.5,
|
| 344 |
-
"learning_rate": 1.7105263157894737e-05,
|
| 345 |
-
"loss": 0.8723,
|
| 346 |
-
"step": 45
|
| 347 |
-
},
|
| 348 |
-
{
|
| 349 |
-
"epoch": 23.0,
|
| 350 |
-
"learning_rate": 1.7017543859649125e-05,
|
| 351 |
-
"loss": 0.8638,
|
| 352 |
-
"step": 46
|
| 353 |
-
},
|
| 354 |
-
{
|
| 355 |
-
"epoch": 23.5,
|
| 356 |
-
"learning_rate": 1.692982456140351e-05,
|
| 357 |
-
"loss": 0.867,
|
| 358 |
-
"step": 47
|
| 359 |
-
},
|
| 360 |
-
{
|
| 361 |
-
"epoch": 24.0,
|
| 362 |
-
"learning_rate": 1.6842105263157896e-05,
|
| 363 |
-
"loss": 0.8582,
|
| 364 |
-
"step": 48
|
| 365 |
-
},
|
| 366 |
-
{
|
| 367 |
-
"epoch": 24.5,
|
| 368 |
-
"learning_rate": 1.6754385964912282e-05,
|
| 369 |
-
"loss": 0.8498,
|
| 370 |
-
"step": 49
|
| 371 |
-
},
|
| 372 |
-
{
|
| 373 |
-
"epoch": 25.0,
|
| 374 |
-
"learning_rate": 1.6666666666666667e-05,
|
| 375 |
-
"loss": 0.8458,
|
| 376 |
-
"step": 50
|
| 377 |
-
},
|
| 378 |
-
{
|
| 379 |
-
"epoch": 25.0,
|
| 380 |
-
"eval_accuracy_dropoff": 0.38082983554668687,
|
| 381 |
-
"eval_accuracy_undropoff": 0.9565176118458433,
|
| 382 |
-
"eval_accuracy_unlabeled": NaN,
|
| 383 |
-
"eval_iou_dropoff": 0.21875946972192284,
|
| 384 |
-
"eval_iou_undropoff": 0.9316126713826287,
|
| 385 |
-
"eval_iou_unlabeled": 0.0,
|
| 386 |
-
"eval_loss": 0.7996953129768372,
|
| 387 |
-
"eval_mean_accuracy": 0.6686737236962651,
|
| 388 |
-
"eval_mean_iou": 0.38345738036818383,
|
| 389 |
-
"eval_overall_accuracy": 0.9325809478759766,
|
| 390 |
-
"eval_runtime": 2.9373,
|
| 391 |
-
"eval_samples_per_second": 6.809,
|
| 392 |
-
"eval_steps_per_second": 0.681,
|
| 393 |
-
"step": 50
|
| 394 |
-
},
|
| 395 |
-
{
|
| 396 |
-
"epoch": 25.5,
|
| 397 |
-
"learning_rate": 1.6578947368421053e-05,
|
| 398 |
-
"loss": 0.8489,
|
| 399 |
-
"step": 51
|
| 400 |
-
},
|
| 401 |
-
{
|
| 402 |
-
"epoch": 26.0,
|
| 403 |
-
"learning_rate": 1.649122807017544e-05,
|
| 404 |
-
"loss": 0.8322,
|
| 405 |
-
"step": 52
|
| 406 |
-
},
|
| 407 |
-
{
|
| 408 |
-
"epoch": 26.5,
|
| 409 |
-
"learning_rate": 1.6403508771929827e-05,
|
| 410 |
-
"loss": 0.8306,
|
| 411 |
-
"step": 53
|
| 412 |
-
},
|
| 413 |
-
{
|
| 414 |
-
"epoch": 27.0,
|
| 415 |
-
"learning_rate": 1.6315789473684213e-05,
|
| 416 |
-
"loss": 0.8211,
|
| 417 |
-
"step": 54
|
| 418 |
-
},
|
| 419 |
-
{
|
| 420 |
-
"epoch": 27.5,
|
| 421 |
-
"learning_rate": 1.62280701754386e-05,
|
| 422 |
-
"loss": 0.8128,
|
| 423 |
-
"step": 55
|
| 424 |
-
},
|
| 425 |
-
{
|
| 426 |
-
"epoch": 28.0,
|
| 427 |
-
"learning_rate": 1.6140350877192984e-05,
|
| 428 |
-
"loss": 0.8159,
|
| 429 |
-
"step": 56
|
| 430 |
-
},
|
| 431 |
-
{
|
| 432 |
-
"epoch": 28.5,
|
| 433 |
-
"learning_rate": 1.605263157894737e-05,
|
| 434 |
-
"loss": 0.8077,
|
| 435 |
-
"step": 57
|
| 436 |
-
},
|
| 437 |
-
{
|
| 438 |
-
"epoch": 29.0,
|
| 439 |
-
"learning_rate": 1.5964912280701755e-05,
|
| 440 |
-
"loss": 0.8115,
|
| 441 |
-
"step": 58
|
| 442 |
-
},
|
| 443 |
-
{
|
| 444 |
-
"epoch": 29.5,
|
| 445 |
-
"learning_rate": 1.5877192982456144e-05,
|
| 446 |
-
"loss": 0.7824,
|
| 447 |
-
"step": 59
|
| 448 |
-
},
|
| 449 |
-
{
|
| 450 |
-
"epoch": 30.0,
|
| 451 |
-
"learning_rate": 1.578947368421053e-05,
|
| 452 |
-
"loss": 0.8299,
|
| 453 |
-
"step": 60
|
| 454 |
-
},
|
| 455 |
-
{
|
| 456 |
-
"epoch": 30.0,
|
| 457 |
-
"eval_accuracy_dropoff": 0.306841900043579,
|
| 458 |
-
"eval_accuracy_undropoff": 0.9597373870247777,
|
| 459 |
-
"eval_accuracy_unlabeled": NaN,
|
| 460 |
-
"eval_iou_dropoff": 0.1934366306340696,
|
| 461 |
-
"eval_iou_undropoff": 0.9317996330434056,
|
| 462 |
-
"eval_iou_unlabeled": 0.0,
|
| 463 |
-
"eval_loss": 0.7386532425880432,
|
| 464 |
-
"eval_mean_accuracy": 0.6332896435341784,
|
| 465 |
-
"eval_mean_iou": 0.37507875455915846,
|
| 466 |
-
"eval_overall_accuracy": 0.9325904846191406,
|
| 467 |
-
"eval_runtime": 3.129,
|
| 468 |
-
"eval_samples_per_second": 6.392,
|
| 469 |
-
"eval_steps_per_second": 0.639,
|
| 470 |
-
"step": 60
|
| 471 |
-
},
|
| 472 |
-
{
|
| 473 |
-
"epoch": 30.5,
|
| 474 |
-
"learning_rate": 1.5701754385964915e-05,
|
| 475 |
-
"loss": 0.7911,
|
| 476 |
-
"step": 61
|
| 477 |
-
},
|
| 478 |
-
{
|
| 479 |
-
"epoch": 31.0,
|
| 480 |
-
"learning_rate": 1.56140350877193e-05,
|
| 481 |
-
"loss": 0.7694,
|
| 482 |
-
"step": 62
|
| 483 |
-
},
|
| 484 |
-
{
|
| 485 |
-
"epoch": 31.5,
|
| 486 |
-
"learning_rate": 1.5526315789473686e-05,
|
| 487 |
-
"loss": 0.7954,
|
| 488 |
-
"step": 63
|
| 489 |
-
},
|
| 490 |
-
{
|
| 491 |
-
"epoch": 32.0,
|
| 492 |
-
"learning_rate": 1.543859649122807e-05,
|
| 493 |
-
"loss": 0.7716,
|
| 494 |
-
"step": 64
|
| 495 |
-
},
|
| 496 |
-
{
|
| 497 |
-
"epoch": 32.5,
|
| 498 |
-
"learning_rate": 1.535087719298246e-05,
|
| 499 |
-
"loss": 0.7495,
|
| 500 |
-
"step": 65
|
| 501 |
-
},
|
| 502 |
-
{
|
| 503 |
-
"epoch": 33.0,
|
| 504 |
-
"learning_rate": 1.5263157894736846e-05,
|
| 505 |
-
"loss": 0.7472,
|
| 506 |
-
"step": 66
|
| 507 |
-
},
|
| 508 |
-
{
|
| 509 |
-
"epoch": 33.5,
|
| 510 |
-
"learning_rate": 1.517543859649123e-05,
|
| 511 |
-
"loss": 0.7637,
|
| 512 |
-
"step": 67
|
| 513 |
-
},
|
| 514 |
-
{
|
| 515 |
-
"epoch": 34.0,
|
| 516 |
-
"learning_rate": 1.5087719298245615e-05,
|
| 517 |
-
"loss": 0.7548,
|
| 518 |
-
"step": 68
|
| 519 |
-
},
|
| 520 |
-
{
|
| 521 |
-
"epoch": 34.5,
|
| 522 |
-
"learning_rate": 1.5000000000000002e-05,
|
| 523 |
-
"loss": 0.7478,
|
| 524 |
-
"step": 69
|
| 525 |
-
},
|
| 526 |
-
{
|
| 527 |
-
"epoch": 35.0,
|
| 528 |
-
"learning_rate": 1.4912280701754388e-05,
|
| 529 |
-
"loss": 0.7518,
|
| 530 |
-
"step": 70
|
| 531 |
-
},
|
| 532 |
-
{
|
| 533 |
-
"epoch": 35.0,
|
| 534 |
-
"eval_accuracy_dropoff": 0.2960801853253515,
|
| 535 |
-
"eval_accuracy_undropoff": 0.9683274343591943,
|
| 536 |
-
"eval_accuracy_unlabeled": NaN,
|
| 537 |
-
"eval_iou_dropoff": 0.1975453738560891,
|
| 538 |
-
"eval_iou_undropoff": 0.9397214711056545,
|
| 539 |
-
"eval_iou_unlabeled": 0.0,
|
| 540 |
-
"eval_loss": 0.6810304522514343,
|
| 541 |
-
"eval_mean_accuracy": 0.6322038098422729,
|
| 542 |
-
"eval_mean_iou": 0.3790889483205812,
|
| 543 |
-
"eval_overall_accuracy": 0.9403759002685547,
|
| 544 |
-
"eval_runtime": 2.9719,
|
| 545 |
-
"eval_samples_per_second": 6.73,
|
| 546 |
-
"eval_steps_per_second": 0.673,
|
| 547 |
-
"step": 70
|
| 548 |
-
},
|
| 549 |
-
{
|
| 550 |
-
"epoch": 35.5,
|
| 551 |
-
"learning_rate": 1.4824561403508773e-05,
|
| 552 |
-
"loss": 0.7382,
|
| 553 |
-
"step": 71
|
| 554 |
-
},
|
| 555 |
-
{
|
| 556 |
-
"epoch": 36.0,
|
| 557 |
-
"learning_rate": 1.4736842105263159e-05,
|
| 558 |
-
"loss": 0.7568,
|
| 559 |
-
"step": 72
|
| 560 |
-
},
|
| 561 |
-
{
|
| 562 |
-
"epoch": 36.5,
|
| 563 |
-
"learning_rate": 1.4649122807017544e-05,
|
| 564 |
-
"loss": 0.7411,
|
| 565 |
-
"step": 73
|
| 566 |
-
},
|
| 567 |
-
{
|
| 568 |
-
"epoch": 37.0,
|
| 569 |
-
"learning_rate": 1.4561403508771931e-05,
|
| 570 |
-
"loss": 0.6921,
|
| 571 |
-
"step": 74
|
| 572 |
-
},
|
| 573 |
-
{
|
| 574 |
-
"epoch": 37.5,
|
| 575 |
-
"learning_rate": 1.4473684210526317e-05,
|
| 576 |
-
"loss": 0.7174,
|
| 577 |
-
"step": 75
|
| 578 |
-
},
|
| 579 |
-
{
|
| 580 |
-
"epoch": 38.0,
|
| 581 |
-
"learning_rate": 1.4385964912280704e-05,
|
| 582 |
-
"loss": 0.7151,
|
| 583 |
-
"step": 76
|
| 584 |
-
},
|
| 585 |
-
{
|
| 586 |
-
"epoch": 38.5,
|
| 587 |
-
"learning_rate": 1.429824561403509e-05,
|
| 588 |
-
"loss": 0.73,
|
| 589 |
-
"step": 77
|
| 590 |
-
},
|
| 591 |
-
{
|
| 592 |
-
"epoch": 39.0,
|
| 593 |
-
"learning_rate": 1.4210526315789475e-05,
|
| 594 |
-
"loss": 0.7098,
|
| 595 |
-
"step": 78
|
| 596 |
-
},
|
| 597 |
-
{
|
| 598 |
-
"epoch": 39.5,
|
| 599 |
-
"learning_rate": 1.412280701754386e-05,
|
| 600 |
-
"loss": 0.6912,
|
| 601 |
-
"step": 79
|
| 602 |
-
},
|
| 603 |
-
{
|
| 604 |
-
"epoch": 40.0,
|
| 605 |
-
"learning_rate": 1.4035087719298246e-05,
|
| 606 |
-
"loss": 0.6943,
|
| 607 |
-
"step": 80
|
| 608 |
-
},
|
| 609 |
-
{
|
| 610 |
-
"epoch": 40.0,
|
| 611 |
-
"eval_accuracy_dropoff": 0.2411156219179339,
|
| 612 |
-
"eval_accuracy_undropoff": 0.9726190748643999,
|
| 613 |
-
"eval_accuracy_unlabeled": NaN,
|
| 614 |
-
"eval_iou_dropoff": 0.1691189482591643,
|
| 615 |
-
"eval_iou_undropoff": 0.941739253422002,
|
| 616 |
-
"eval_iou_unlabeled": 0.0,
|
| 617 |
-
"eval_loss": 0.6321617364883423,
|
| 618 |
-
"eval_mean_accuracy": 0.6068673483911668,
|
| 619 |
-
"eval_mean_iou": 0.3702860672270554,
|
| 620 |
-
"eval_overall_accuracy": 0.9422037124633789,
|
| 621 |
-
"eval_runtime": 2.9083,
|
| 622 |
-
"eval_samples_per_second": 6.877,
|
| 623 |
-
"eval_steps_per_second": 0.688,
|
| 624 |
-
"step": 80
|
| 625 |
-
}
|
| 626 |
-
],
|
| 627 |
-
"max_steps": 240,
|
| 628 |
-
"num_train_epochs": 120,
|
| 629 |
-
"total_flos": 4.071916553895936e+16,
|
| 630 |
-
"trial_name": null,
|
| 631 |
-
"trial_params": null
|
| 632 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
checkpoint-80/training_args.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:ff0ba26522d947dfbd4b01b70efdc53619411a3a479d5339da8c89c9a1f71dbd
|
| 3 |
-
size 4219
|
|
|
|
|
|
|
|
|
|
|
|
runs/Feb12_06-52-20_robovision.csres.utexas.edu/events.out.tfevents.1707742347.robovision.csres.utexas.edu.2754155.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:82929a641ba273ee3b83293d7a75be511483d9b7f049bbd9589dd8083e87f843
|
| 3 |
+
size 61297
|