sam1120 commited on
Commit
a39687c
β€’
1 Parent(s): 94c950d

Training in progress, step 720

Browse files
{checkpoint-320 β†’ checkpoint-720}/config.json RENAMED
File without changes
{checkpoint-320 β†’ checkpoint-720}/optimizer.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:efb518e19f116ac36a1343f4c03770f020bdbbad0d97c631fd41e2bfdd62d70f
3
  size 677456319
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0ccb4e6a56276bec712062f753d9fca7c87c26ef4f65c1cbb29fb40d2b87033d
3
  size 677456319
{checkpoint-320 β†’ checkpoint-720}/pytorch_model.bin RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7e089a2d0ed262e596326e2d9943fc00708ea6d0ca0f3d0690a16a0a32afe7a8
3
  size 338796489
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:935226a50b81cbca3c7e35eabfb4c5b6319732154906e7ab0a6958d9485775d6
3
  size 338796489
{checkpoint-320 β†’ checkpoint-720}/rng_state.pth RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:50ab156f465e77cd3850a21f5b271dfd45ce1cf39aa11591b3e36576737b1228
3
  size 14575
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1d7c00f8866b8aacadf7f24483329bc48f1e9e8feb5c206cc15307842ccc9734
3
  size 14575
{checkpoint-320 β†’ checkpoint-720}/scheduler.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:707d3fb924d0a3ee484fb9ce356a38a65c2a9250e2c5ccd79279a19f369a2152
3
  size 627
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4db2363e1a72499f93f729d51e53b81184471a0ae2ce26dfd245a0c2fd839101
3
  size 627
{checkpoint-320 β†’ checkpoint-720}/trainer_state.json RENAMED
@@ -1,8 +1,8 @@
1
  {
2
- "best_metric": 0.04917014017701149,
3
- "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/INTERNAL_BEST-safety-utcustom-train-SF-RGB-b5/checkpoint-320",
4
- "epoch": 32.0,
5
- "global_step": 320,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
@@ -2198,11 +2198,2751 @@
2198
  "eval_samples_per_second": 6.29,
2199
  "eval_steps_per_second": 0.469,
2200
  "step": 320
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2201
  }
2202
  ],
2203
  "max_steps": 20000,
2204
  "num_train_epochs": 2000,
2205
- "total_flos": 1.9671214001498358e+18,
2206
  "trial_name": null,
2207
  "trial_params": null
2208
  }
 
1
  {
2
+ "best_metric": 0.03560740128159523,
3
+ "best_model_checkpoint": "/robodata/smodak/Projects/nspl/scripts/terrainseg/training/models/INTERNAL_BEST-safety-utcustom-train-SF-RGB-b5/checkpoint-640",
4
+ "epoch": 72.0,
5
+ "global_step": 720,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
 
2198
  "eval_samples_per_second": 6.29,
2199
  "eval_steps_per_second": 0.469,
2200
  "step": 320
2201
+ },
2202
+ {
2203
+ "epoch": 32.1,
2204
+ "learning_rate": 3.21e-05,
2205
+ "loss": 0.0455,
2206
+ "step": 321
2207
+ },
2208
+ {
2209
+ "epoch": 32.2,
2210
+ "learning_rate": 3.2200000000000003e-05,
2211
+ "loss": 0.0469,
2212
+ "step": 322
2213
+ },
2214
+ {
2215
+ "epoch": 32.3,
2216
+ "learning_rate": 3.2300000000000006e-05,
2217
+ "loss": 0.0494,
2218
+ "step": 323
2219
+ },
2220
+ {
2221
+ "epoch": 32.4,
2222
+ "learning_rate": 3.24e-05,
2223
+ "loss": 0.0464,
2224
+ "step": 324
2225
+ },
2226
+ {
2227
+ "epoch": 32.5,
2228
+ "learning_rate": 3.2500000000000004e-05,
2229
+ "loss": 0.0447,
2230
+ "step": 325
2231
+ },
2232
+ {
2233
+ "epoch": 32.6,
2234
+ "learning_rate": 3.26e-05,
2235
+ "loss": 0.0431,
2236
+ "step": 326
2237
+ },
2238
+ {
2239
+ "epoch": 32.7,
2240
+ "learning_rate": 3.27e-05,
2241
+ "loss": 0.043,
2242
+ "step": 327
2243
+ },
2244
+ {
2245
+ "epoch": 32.8,
2246
+ "learning_rate": 3.2800000000000004e-05,
2247
+ "loss": 0.0419,
2248
+ "step": 328
2249
+ },
2250
+ {
2251
+ "epoch": 32.9,
2252
+ "learning_rate": 3.29e-05,
2253
+ "loss": 0.0424,
2254
+ "step": 329
2255
+ },
2256
+ {
2257
+ "epoch": 33.0,
2258
+ "learning_rate": 3.3e-05,
2259
+ "loss": 0.072,
2260
+ "step": 330
2261
+ },
2262
+ {
2263
+ "epoch": 33.1,
2264
+ "learning_rate": 3.3100000000000005e-05,
2265
+ "loss": 0.0518,
2266
+ "step": 331
2267
+ },
2268
+ {
2269
+ "epoch": 33.2,
2270
+ "learning_rate": 3.32e-05,
2271
+ "loss": 0.0341,
2272
+ "step": 332
2273
+ },
2274
+ {
2275
+ "epoch": 33.3,
2276
+ "learning_rate": 3.33e-05,
2277
+ "loss": 0.0483,
2278
+ "step": 333
2279
+ },
2280
+ {
2281
+ "epoch": 33.4,
2282
+ "learning_rate": 3.3400000000000005e-05,
2283
+ "loss": 0.0409,
2284
+ "step": 334
2285
+ },
2286
+ {
2287
+ "epoch": 33.5,
2288
+ "learning_rate": 3.35e-05,
2289
+ "loss": 0.0433,
2290
+ "step": 335
2291
+ },
2292
+ {
2293
+ "epoch": 33.6,
2294
+ "learning_rate": 3.3600000000000004e-05,
2295
+ "loss": 0.0433,
2296
+ "step": 336
2297
+ },
2298
+ {
2299
+ "epoch": 33.7,
2300
+ "learning_rate": 3.3700000000000006e-05,
2301
+ "loss": 0.0403,
2302
+ "step": 337
2303
+ },
2304
+ {
2305
+ "epoch": 33.8,
2306
+ "learning_rate": 3.38e-05,
2307
+ "loss": 0.0426,
2308
+ "step": 338
2309
+ },
2310
+ {
2311
+ "epoch": 33.9,
2312
+ "learning_rate": 3.3900000000000004e-05,
2313
+ "loss": 0.0365,
2314
+ "step": 339
2315
+ },
2316
+ {
2317
+ "epoch": 34.0,
2318
+ "learning_rate": 3.4000000000000007e-05,
2319
+ "loss": 0.0435,
2320
+ "step": 340
2321
+ },
2322
+ {
2323
+ "epoch": 34.0,
2324
+ "eval_accuracy_safe": 0.627977532854538,
2325
+ "eval_accuracy_unlabeled": NaN,
2326
+ "eval_accuracy_unsafe": 0.9987678973456258,
2327
+ "eval_iou_safe": 0.603546108487726,
2328
+ "eval_iou_unlabeled": NaN,
2329
+ "eval_iou_unsafe": 0.9875850541007082,
2330
+ "eval_loss": 0.05069776251912117,
2331
+ "eval_mean_accuracy": 0.8133727151000818,
2332
+ "eval_mean_iou": 0.7955655812942171,
2333
+ "eval_overall_accuracy": 0.987815344511573,
2334
+ "eval_runtime": 9.8092,
2335
+ "eval_samples_per_second": 6.83,
2336
+ "eval_steps_per_second": 0.51,
2337
+ "step": 340
2338
+ },
2339
+ {
2340
+ "epoch": 34.1,
2341
+ "learning_rate": 3.41e-05,
2342
+ "loss": 0.0399,
2343
+ "step": 341
2344
+ },
2345
+ {
2346
+ "epoch": 34.2,
2347
+ "learning_rate": 3.4200000000000005e-05,
2348
+ "loss": 0.0351,
2349
+ "step": 342
2350
+ },
2351
+ {
2352
+ "epoch": 34.3,
2353
+ "learning_rate": 3.430000000000001e-05,
2354
+ "loss": 0.044,
2355
+ "step": 343
2356
+ },
2357
+ {
2358
+ "epoch": 34.4,
2359
+ "learning_rate": 3.4399999999999996e-05,
2360
+ "loss": 0.0536,
2361
+ "step": 344
2362
+ },
2363
+ {
2364
+ "epoch": 34.5,
2365
+ "learning_rate": 3.45e-05,
2366
+ "loss": 0.0387,
2367
+ "step": 345
2368
+ },
2369
+ {
2370
+ "epoch": 34.6,
2371
+ "learning_rate": 3.46e-05,
2372
+ "loss": 0.0326,
2373
+ "step": 346
2374
+ },
2375
+ {
2376
+ "epoch": 34.7,
2377
+ "learning_rate": 3.4699999999999996e-05,
2378
+ "loss": 0.0362,
2379
+ "step": 347
2380
+ },
2381
+ {
2382
+ "epoch": 34.8,
2383
+ "learning_rate": 3.48e-05,
2384
+ "loss": 0.1107,
2385
+ "step": 348
2386
+ },
2387
+ {
2388
+ "epoch": 34.9,
2389
+ "learning_rate": 3.49e-05,
2390
+ "loss": 0.056,
2391
+ "step": 349
2392
+ },
2393
+ {
2394
+ "epoch": 35.0,
2395
+ "learning_rate": 3.5e-05,
2396
+ "loss": 0.0371,
2397
+ "step": 350
2398
+ },
2399
+ {
2400
+ "epoch": 35.1,
2401
+ "learning_rate": 3.51e-05,
2402
+ "loss": 0.0336,
2403
+ "step": 351
2404
+ },
2405
+ {
2406
+ "epoch": 35.2,
2407
+ "learning_rate": 3.52e-05,
2408
+ "loss": 0.032,
2409
+ "step": 352
2410
+ },
2411
+ {
2412
+ "epoch": 35.3,
2413
+ "learning_rate": 3.53e-05,
2414
+ "loss": 0.0406,
2415
+ "step": 353
2416
+ },
2417
+ {
2418
+ "epoch": 35.4,
2419
+ "learning_rate": 3.54e-05,
2420
+ "loss": 0.0371,
2421
+ "step": 354
2422
+ },
2423
+ {
2424
+ "epoch": 35.5,
2425
+ "learning_rate": 3.55e-05,
2426
+ "loss": 0.0414,
2427
+ "step": 355
2428
+ },
2429
+ {
2430
+ "epoch": 35.6,
2431
+ "learning_rate": 3.56e-05,
2432
+ "loss": 0.0388,
2433
+ "step": 356
2434
+ },
2435
+ {
2436
+ "epoch": 35.7,
2437
+ "learning_rate": 3.57e-05,
2438
+ "loss": 0.0533,
2439
+ "step": 357
2440
+ },
2441
+ {
2442
+ "epoch": 35.8,
2443
+ "learning_rate": 3.58e-05,
2444
+ "loss": 0.04,
2445
+ "step": 358
2446
+ },
2447
+ {
2448
+ "epoch": 35.9,
2449
+ "learning_rate": 3.59e-05,
2450
+ "loss": 0.0487,
2451
+ "step": 359
2452
+ },
2453
+ {
2454
+ "epoch": 36.0,
2455
+ "learning_rate": 3.6e-05,
2456
+ "loss": 0.0326,
2457
+ "step": 360
2458
+ },
2459
+ {
2460
+ "epoch": 36.0,
2461
+ "eval_accuracy_safe": 0.7829615151830563,
2462
+ "eval_accuracy_unlabeled": NaN,
2463
+ "eval_accuracy_unsafe": 0.9961353126921768,
2464
+ "eval_iou_safe": 0.694748364475991,
2465
+ "eval_iou_unlabeled": NaN,
2466
+ "eval_iou_unsafe": 0.9895979273372039,
2467
+ "eval_loss": 0.0417884923517704,
2468
+ "eval_mean_accuracy": 0.8895484139376166,
2469
+ "eval_mean_iou": 0.8421731459065974,
2470
+ "eval_overall_accuracy": 0.9898385005210762,
2471
+ "eval_runtime": 9.8003,
2472
+ "eval_samples_per_second": 6.837,
2473
+ "eval_steps_per_second": 0.51,
2474
+ "step": 360
2475
+ },
2476
+ {
2477
+ "epoch": 36.1,
2478
+ "learning_rate": 3.61e-05,
2479
+ "loss": 0.0318,
2480
+ "step": 361
2481
+ },
2482
+ {
2483
+ "epoch": 36.2,
2484
+ "learning_rate": 3.62e-05,
2485
+ "loss": 0.0395,
2486
+ "step": 362
2487
+ },
2488
+ {
2489
+ "epoch": 36.3,
2490
+ "learning_rate": 3.63e-05,
2491
+ "loss": 0.033,
2492
+ "step": 363
2493
+ },
2494
+ {
2495
+ "epoch": 36.4,
2496
+ "learning_rate": 3.6400000000000004e-05,
2497
+ "loss": 0.0336,
2498
+ "step": 364
2499
+ },
2500
+ {
2501
+ "epoch": 36.5,
2502
+ "learning_rate": 3.65e-05,
2503
+ "loss": 0.056,
2504
+ "step": 365
2505
+ },
2506
+ {
2507
+ "epoch": 36.6,
2508
+ "learning_rate": 3.66e-05,
2509
+ "loss": 0.0303,
2510
+ "step": 366
2511
+ },
2512
+ {
2513
+ "epoch": 36.7,
2514
+ "learning_rate": 3.6700000000000004e-05,
2515
+ "loss": 0.0441,
2516
+ "step": 367
2517
+ },
2518
+ {
2519
+ "epoch": 36.8,
2520
+ "learning_rate": 3.68e-05,
2521
+ "loss": 0.0373,
2522
+ "step": 368
2523
+ },
2524
+ {
2525
+ "epoch": 36.9,
2526
+ "learning_rate": 3.69e-05,
2527
+ "loss": 0.0358,
2528
+ "step": 369
2529
+ },
2530
+ {
2531
+ "epoch": 37.0,
2532
+ "learning_rate": 3.7e-05,
2533
+ "loss": 0.044,
2534
+ "step": 370
2535
+ },
2536
+ {
2537
+ "epoch": 37.1,
2538
+ "learning_rate": 3.71e-05,
2539
+ "loss": 0.0412,
2540
+ "step": 371
2541
+ },
2542
+ {
2543
+ "epoch": 37.2,
2544
+ "learning_rate": 3.72e-05,
2545
+ "loss": 0.0377,
2546
+ "step": 372
2547
+ },
2548
+ {
2549
+ "epoch": 37.3,
2550
+ "learning_rate": 3.73e-05,
2551
+ "loss": 0.0349,
2552
+ "step": 373
2553
+ },
2554
+ {
2555
+ "epoch": 37.4,
2556
+ "learning_rate": 3.74e-05,
2557
+ "loss": 0.0532,
2558
+ "step": 374
2559
+ },
2560
+ {
2561
+ "epoch": 37.5,
2562
+ "learning_rate": 3.7500000000000003e-05,
2563
+ "loss": 0.0313,
2564
+ "step": 375
2565
+ },
2566
+ {
2567
+ "epoch": 37.6,
2568
+ "learning_rate": 3.76e-05,
2569
+ "loss": 0.0334,
2570
+ "step": 376
2571
+ },
2572
+ {
2573
+ "epoch": 37.7,
2574
+ "learning_rate": 3.77e-05,
2575
+ "loss": 0.0348,
2576
+ "step": 377
2577
+ },
2578
+ {
2579
+ "epoch": 37.8,
2580
+ "learning_rate": 3.7800000000000004e-05,
2581
+ "loss": 0.0539,
2582
+ "step": 378
2583
+ },
2584
+ {
2585
+ "epoch": 37.9,
2586
+ "learning_rate": 3.79e-05,
2587
+ "loss": 0.0323,
2588
+ "step": 379
2589
+ },
2590
+ {
2591
+ "epoch": 38.0,
2592
+ "learning_rate": 3.8e-05,
2593
+ "loss": 0.0262,
2594
+ "step": 380
2595
+ },
2596
+ {
2597
+ "epoch": 38.0,
2598
+ "eval_accuracy_safe": 0.7119826060809326,
2599
+ "eval_accuracy_unlabeled": NaN,
2600
+ "eval_accuracy_unsafe": 0.9979335102235597,
2601
+ "eval_iou_safe": 0.6667172059022607,
2602
+ "eval_iou_unlabeled": NaN,
2603
+ "eval_iou_unsafe": 0.9892611317607551,
2604
+ "eval_loss": 0.04198002442717552,
2605
+ "eval_mean_accuracy": 0.8549580581522461,
2606
+ "eval_mean_iou": 0.827989168831508,
2607
+ "eval_overall_accuracy": 0.989486979014838,
2608
+ "eval_runtime": 9.7227,
2609
+ "eval_samples_per_second": 6.891,
2610
+ "eval_steps_per_second": 0.514,
2611
+ "step": 380
2612
+ },
2613
+ {
2614
+ "epoch": 38.1,
2615
+ "learning_rate": 3.8100000000000005e-05,
2616
+ "loss": 0.0391,
2617
+ "step": 381
2618
+ },
2619
+ {
2620
+ "epoch": 38.2,
2621
+ "learning_rate": 3.82e-05,
2622
+ "loss": 0.0383,
2623
+ "step": 382
2624
+ },
2625
+ {
2626
+ "epoch": 38.3,
2627
+ "learning_rate": 3.83e-05,
2628
+ "loss": 0.0337,
2629
+ "step": 383
2630
+ },
2631
+ {
2632
+ "epoch": 38.4,
2633
+ "learning_rate": 3.8400000000000005e-05,
2634
+ "loss": 0.0331,
2635
+ "step": 384
2636
+ },
2637
+ {
2638
+ "epoch": 38.5,
2639
+ "learning_rate": 3.85e-05,
2640
+ "loss": 0.0421,
2641
+ "step": 385
2642
+ },
2643
+ {
2644
+ "epoch": 38.6,
2645
+ "learning_rate": 3.86e-05,
2646
+ "loss": 0.027,
2647
+ "step": 386
2648
+ },
2649
+ {
2650
+ "epoch": 38.7,
2651
+ "learning_rate": 3.8700000000000006e-05,
2652
+ "loss": 0.0294,
2653
+ "step": 387
2654
+ },
2655
+ {
2656
+ "epoch": 38.8,
2657
+ "learning_rate": 3.88e-05,
2658
+ "loss": 0.0278,
2659
+ "step": 388
2660
+ },
2661
+ {
2662
+ "epoch": 38.9,
2663
+ "learning_rate": 3.8900000000000004e-05,
2664
+ "loss": 0.0347,
2665
+ "step": 389
2666
+ },
2667
+ {
2668
+ "epoch": 39.0,
2669
+ "learning_rate": 3.9000000000000006e-05,
2670
+ "loss": 0.0355,
2671
+ "step": 390
2672
+ },
2673
+ {
2674
+ "epoch": 39.1,
2675
+ "learning_rate": 3.91e-05,
2676
+ "loss": 0.0337,
2677
+ "step": 391
2678
+ },
2679
+ {
2680
+ "epoch": 39.2,
2681
+ "learning_rate": 3.9200000000000004e-05,
2682
+ "loss": 0.0359,
2683
+ "step": 392
2684
+ },
2685
+ {
2686
+ "epoch": 39.3,
2687
+ "learning_rate": 3.9300000000000007e-05,
2688
+ "loss": 0.0326,
2689
+ "step": 393
2690
+ },
2691
+ {
2692
+ "epoch": 39.4,
2693
+ "learning_rate": 3.94e-05,
2694
+ "loss": 0.0288,
2695
+ "step": 394
2696
+ },
2697
+ {
2698
+ "epoch": 39.5,
2699
+ "learning_rate": 3.9500000000000005e-05,
2700
+ "loss": 0.0303,
2701
+ "step": 395
2702
+ },
2703
+ {
2704
+ "epoch": 39.6,
2705
+ "learning_rate": 3.960000000000001e-05,
2706
+ "loss": 0.034,
2707
+ "step": 396
2708
+ },
2709
+ {
2710
+ "epoch": 39.7,
2711
+ "learning_rate": 3.97e-05,
2712
+ "loss": 0.0324,
2713
+ "step": 397
2714
+ },
2715
+ {
2716
+ "epoch": 39.8,
2717
+ "learning_rate": 3.9800000000000005e-05,
2718
+ "loss": 0.0373,
2719
+ "step": 398
2720
+ },
2721
+ {
2722
+ "epoch": 39.9,
2723
+ "learning_rate": 3.99e-05,
2724
+ "loss": 0.0372,
2725
+ "step": 399
2726
+ },
2727
+ {
2728
+ "epoch": 40.0,
2729
+ "learning_rate": 4e-05,
2730
+ "loss": 0.0268,
2731
+ "step": 400
2732
+ },
2733
+ {
2734
+ "epoch": 40.0,
2735
+ "eval_accuracy_safe": 0.7676396775648513,
2736
+ "eval_accuracy_unlabeled": NaN,
2737
+ "eval_accuracy_unsafe": 0.9966623928429743,
2738
+ "eval_iou_safe": 0.6917825708583251,
2739
+ "eval_iou_unlabeled": NaN,
2740
+ "eval_iou_unsafe": 0.9896630400873385,
2741
+ "eval_loss": 0.03918380290269852,
2742
+ "eval_mean_accuracy": 0.8821510352039128,
2743
+ "eval_mean_iou": 0.8407228054728317,
2744
+ "eval_overall_accuracy": 0.9898974290534631,
2745
+ "eval_runtime": 9.7657,
2746
+ "eval_samples_per_second": 6.861,
2747
+ "eval_steps_per_second": 0.512,
2748
+ "step": 400
2749
+ },
2750
+ {
2751
+ "epoch": 40.1,
2752
+ "learning_rate": 4.0100000000000006e-05,
2753
+ "loss": 0.0305,
2754
+ "step": 401
2755
+ },
2756
+ {
2757
+ "epoch": 40.2,
2758
+ "learning_rate": 4.02e-05,
2759
+ "loss": 0.0386,
2760
+ "step": 402
2761
+ },
2762
+ {
2763
+ "epoch": 40.3,
2764
+ "learning_rate": 4.0300000000000004e-05,
2765
+ "loss": 0.0286,
2766
+ "step": 403
2767
+ },
2768
+ {
2769
+ "epoch": 40.4,
2770
+ "learning_rate": 4.0400000000000006e-05,
2771
+ "loss": 0.0491,
2772
+ "step": 404
2773
+ },
2774
+ {
2775
+ "epoch": 40.5,
2776
+ "learning_rate": 4.05e-05,
2777
+ "loss": 0.0355,
2778
+ "step": 405
2779
+ },
2780
+ {
2781
+ "epoch": 40.6,
2782
+ "learning_rate": 4.0600000000000004e-05,
2783
+ "loss": 0.0259,
2784
+ "step": 406
2785
+ },
2786
+ {
2787
+ "epoch": 40.7,
2788
+ "learning_rate": 4.07e-05,
2789
+ "loss": 0.0306,
2790
+ "step": 407
2791
+ },
2792
+ {
2793
+ "epoch": 40.8,
2794
+ "learning_rate": 4.08e-05,
2795
+ "loss": 0.0412,
2796
+ "step": 408
2797
+ },
2798
+ {
2799
+ "epoch": 40.9,
2800
+ "learning_rate": 4.09e-05,
2801
+ "loss": 0.0365,
2802
+ "step": 409
2803
+ },
2804
+ {
2805
+ "epoch": 41.0,
2806
+ "learning_rate": 4.1e-05,
2807
+ "loss": 0.0339,
2808
+ "step": 410
2809
+ },
2810
+ {
2811
+ "epoch": 41.1,
2812
+ "learning_rate": 4.11e-05,
2813
+ "loss": 0.0267,
2814
+ "step": 411
2815
+ },
2816
+ {
2817
+ "epoch": 41.2,
2818
+ "learning_rate": 4.12e-05,
2819
+ "loss": 0.0273,
2820
+ "step": 412
2821
+ },
2822
+ {
2823
+ "epoch": 41.3,
2824
+ "learning_rate": 4.13e-05,
2825
+ "loss": 0.0556,
2826
+ "step": 413
2827
+ },
2828
+ {
2829
+ "epoch": 41.4,
2830
+ "learning_rate": 4.14e-05,
2831
+ "loss": 0.0347,
2832
+ "step": 414
2833
+ },
2834
+ {
2835
+ "epoch": 41.5,
2836
+ "learning_rate": 4.15e-05,
2837
+ "loss": 0.0299,
2838
+ "step": 415
2839
+ },
2840
+ {
2841
+ "epoch": 41.6,
2842
+ "learning_rate": 4.16e-05,
2843
+ "loss": 0.0896,
2844
+ "step": 416
2845
+ },
2846
+ {
2847
+ "epoch": 41.7,
2848
+ "learning_rate": 4.17e-05,
2849
+ "loss": 0.0357,
2850
+ "step": 417
2851
+ },
2852
+ {
2853
+ "epoch": 41.8,
2854
+ "learning_rate": 4.18e-05,
2855
+ "loss": 0.0523,
2856
+ "step": 418
2857
+ },
2858
+ {
2859
+ "epoch": 41.9,
2860
+ "learning_rate": 4.19e-05,
2861
+ "loss": 0.0323,
2862
+ "step": 419
2863
+ },
2864
+ {
2865
+ "epoch": 42.0,
2866
+ "learning_rate": 4.2e-05,
2867
+ "loss": 0.0395,
2868
+ "step": 420
2869
+ },
2870
+ {
2871
+ "epoch": 42.0,
2872
+ "eval_accuracy_safe": 0.6754889148461263,
2873
+ "eval_accuracy_unlabeled": NaN,
2874
+ "eval_accuracy_unsafe": 0.9984243330799234,
2875
+ "eval_iou_safe": 0.6422488284679091,
2876
+ "eval_iou_unlabeled": 0.0,
2877
+ "eval_iou_unsafe": 0.9886590543317243,
2878
+ "eval_loss": 0.04656589403748512,
2879
+ "eval_mean_accuracy": 0.8369566239630248,
2880
+ "eval_mean_iou": 0.5436359609332112,
2881
+ "eval_overall_accuracy": 0.9888853386266908,
2882
+ "eval_runtime": 9.8482,
2883
+ "eval_samples_per_second": 6.803,
2884
+ "eval_steps_per_second": 0.508,
2885
+ "step": 420
2886
+ },
2887
+ {
2888
+ "epoch": 42.1,
2889
+ "learning_rate": 4.21e-05,
2890
+ "loss": 0.0378,
2891
+ "step": 421
2892
+ },
2893
+ {
2894
+ "epoch": 42.2,
2895
+ "learning_rate": 4.22e-05,
2896
+ "loss": 0.0406,
2897
+ "step": 422
2898
+ },
2899
+ {
2900
+ "epoch": 42.3,
2901
+ "learning_rate": 4.23e-05,
2902
+ "loss": 0.0399,
2903
+ "step": 423
2904
+ },
2905
+ {
2906
+ "epoch": 42.4,
2907
+ "learning_rate": 4.24e-05,
2908
+ "loss": 0.0468,
2909
+ "step": 424
2910
+ },
2911
+ {
2912
+ "epoch": 42.5,
2913
+ "learning_rate": 4.25e-05,
2914
+ "loss": 0.0271,
2915
+ "step": 425
2916
+ },
2917
+ {
2918
+ "epoch": 42.6,
2919
+ "learning_rate": 4.26e-05,
2920
+ "loss": 0.0453,
2921
+ "step": 426
2922
+ },
2923
+ {
2924
+ "epoch": 42.7,
2925
+ "learning_rate": 4.27e-05,
2926
+ "loss": 0.078,
2927
+ "step": 427
2928
+ },
2929
+ {
2930
+ "epoch": 42.8,
2931
+ "learning_rate": 4.2800000000000004e-05,
2932
+ "loss": 0.0315,
2933
+ "step": 428
2934
+ },
2935
+ {
2936
+ "epoch": 42.9,
2937
+ "learning_rate": 4.29e-05,
2938
+ "loss": 0.0314,
2939
+ "step": 429
2940
+ },
2941
+ {
2942
+ "epoch": 43.0,
2943
+ "learning_rate": 4.3e-05,
2944
+ "loss": 0.0295,
2945
+ "step": 430
2946
+ },
2947
+ {
2948
+ "epoch": 43.1,
2949
+ "learning_rate": 4.3100000000000004e-05,
2950
+ "loss": 0.0335,
2951
+ "step": 431
2952
+ },
2953
+ {
2954
+ "epoch": 43.2,
2955
+ "learning_rate": 4.32e-05,
2956
+ "loss": 0.0318,
2957
+ "step": 432
2958
+ },
2959
+ {
2960
+ "epoch": 43.3,
2961
+ "learning_rate": 4.33e-05,
2962
+ "loss": 0.0254,
2963
+ "step": 433
2964
+ },
2965
+ {
2966
+ "epoch": 43.4,
2967
+ "learning_rate": 4.3400000000000005e-05,
2968
+ "loss": 0.026,
2969
+ "step": 434
2970
+ },
2971
+ {
2972
+ "epoch": 43.5,
2973
+ "learning_rate": 4.35e-05,
2974
+ "loss": 0.0344,
2975
+ "step": 435
2976
+ },
2977
+ {
2978
+ "epoch": 43.6,
2979
+ "learning_rate": 4.36e-05,
2980
+ "loss": 0.0279,
2981
+ "step": 436
2982
+ },
2983
+ {
2984
+ "epoch": 43.7,
2985
+ "learning_rate": 4.3700000000000005e-05,
2986
+ "loss": 0.0251,
2987
+ "step": 437
2988
+ },
2989
+ {
2990
+ "epoch": 43.8,
2991
+ "learning_rate": 4.38e-05,
2992
+ "loss": 0.0276,
2993
+ "step": 438
2994
+ },
2995
+ {
2996
+ "epoch": 43.9,
2997
+ "learning_rate": 4.39e-05,
2998
+ "loss": 0.0291,
2999
+ "step": 439
3000
+ },
3001
+ {
3002
+ "epoch": 44.0,
3003
+ "learning_rate": 4.4000000000000006e-05,
3004
+ "loss": 0.0279,
3005
+ "step": 440
3006
+ },
3007
+ {
3008
+ "epoch": 44.0,
3009
+ "eval_accuracy_safe": 0.7945381860517114,
3010
+ "eval_accuracy_unlabeled": NaN,
3011
+ "eval_accuracy_unsafe": 0.9946534571212905,
3012
+ "eval_iou_safe": 0.6758250496365994,
3013
+ "eval_iou_unlabeled": NaN,
3014
+ "eval_iou_unsafe": 0.9884718134454017,
3015
+ "eval_loss": 0.043944161385297775,
3016
+ "eval_mean_accuracy": 0.894595821586501,
3017
+ "eval_mean_iou": 0.8321484315410006,
3018
+ "eval_overall_accuracy": 0.9887423728828999,
3019
+ "eval_runtime": 10.0763,
3020
+ "eval_samples_per_second": 6.649,
3021
+ "eval_steps_per_second": 0.496,
3022
+ "step": 440
3023
+ },
3024
+ {
3025
+ "epoch": 44.1,
3026
+ "learning_rate": 4.41e-05,
3027
+ "loss": 0.0546,
3028
+ "step": 441
3029
+ },
3030
+ {
3031
+ "epoch": 44.2,
3032
+ "learning_rate": 4.4200000000000004e-05,
3033
+ "loss": 0.0283,
3034
+ "step": 442
3035
+ },
3036
+ {
3037
+ "epoch": 44.3,
3038
+ "learning_rate": 4.43e-05,
3039
+ "loss": 0.0291,
3040
+ "step": 443
3041
+ },
3042
+ {
3043
+ "epoch": 44.4,
3044
+ "learning_rate": 4.44e-05,
3045
+ "loss": 0.0277,
3046
+ "step": 444
3047
+ },
3048
+ {
3049
+ "epoch": 44.5,
3050
+ "learning_rate": 4.4500000000000004e-05,
3051
+ "loss": 0.0346,
3052
+ "step": 445
3053
+ },
3054
+ {
3055
+ "epoch": 44.6,
3056
+ "learning_rate": 4.46e-05,
3057
+ "loss": 0.0248,
3058
+ "step": 446
3059
+ },
3060
+ {
3061
+ "epoch": 44.7,
3062
+ "learning_rate": 4.47e-05,
3063
+ "loss": 0.0204,
3064
+ "step": 447
3065
+ },
3066
+ {
3067
+ "epoch": 44.8,
3068
+ "learning_rate": 4.4800000000000005e-05,
3069
+ "loss": 0.0267,
3070
+ "step": 448
3071
+ },
3072
+ {
3073
+ "epoch": 44.9,
3074
+ "learning_rate": 4.49e-05,
3075
+ "loss": 0.0305,
3076
+ "step": 449
3077
+ },
3078
+ {
3079
+ "epoch": 45.0,
3080
+ "learning_rate": 4.5e-05,
3081
+ "loss": 0.0277,
3082
+ "step": 450
3083
+ },
3084
+ {
3085
+ "epoch": 45.1,
3086
+ "learning_rate": 4.5100000000000005e-05,
3087
+ "loss": 0.0279,
3088
+ "step": 451
3089
+ },
3090
+ {
3091
+ "epoch": 45.2,
3092
+ "learning_rate": 4.52e-05,
3093
+ "loss": 0.0314,
3094
+ "step": 452
3095
+ },
3096
+ {
3097
+ "epoch": 45.3,
3098
+ "learning_rate": 4.53e-05,
3099
+ "loss": 0.0279,
3100
+ "step": 453
3101
+ },
3102
+ {
3103
+ "epoch": 45.4,
3104
+ "learning_rate": 4.5400000000000006e-05,
3105
+ "loss": 0.0333,
3106
+ "step": 454
3107
+ },
3108
+ {
3109
+ "epoch": 45.5,
3110
+ "learning_rate": 4.55e-05,
3111
+ "loss": 0.0291,
3112
+ "step": 455
3113
+ },
3114
+ {
3115
+ "epoch": 45.6,
3116
+ "learning_rate": 4.5600000000000004e-05,
3117
+ "loss": 0.0228,
3118
+ "step": 456
3119
+ },
3120
+ {
3121
+ "epoch": 45.7,
3122
+ "learning_rate": 4.5700000000000006e-05,
3123
+ "loss": 0.0255,
3124
+ "step": 457
3125
+ },
3126
+ {
3127
+ "epoch": 45.8,
3128
+ "learning_rate": 4.58e-05,
3129
+ "loss": 0.0385,
3130
+ "step": 458
3131
+ },
3132
+ {
3133
+ "epoch": 45.9,
3134
+ "learning_rate": 4.5900000000000004e-05,
3135
+ "loss": 0.0257,
3136
+ "step": 459
3137
+ },
3138
+ {
3139
+ "epoch": 46.0,
3140
+ "learning_rate": 4.600000000000001e-05,
3141
+ "loss": 0.0468,
3142
+ "step": 460
3143
+ },
3144
+ {
3145
+ "epoch": 46.0,
3146
+ "eval_accuracy_safe": 0.7821905081321968,
3147
+ "eval_accuracy_unlabeled": NaN,
3148
+ "eval_accuracy_unsafe": 0.9967090931769053,
3149
+ "eval_iou_safe": 0.7058715069708381,
3150
+ "eval_iou_unlabeled": NaN,
3151
+ "eval_iou_unsafe": 0.9901448585096287,
3152
+ "eval_loss": 0.03598049655556679,
3153
+ "eval_mean_accuracy": 0.889449800654551,
3154
+ "eval_mean_iou": 0.8480081827402335,
3155
+ "eval_overall_accuracy": 0.9903725581382637,
3156
+ "eval_runtime": 9.7124,
3157
+ "eval_samples_per_second": 6.898,
3158
+ "eval_steps_per_second": 0.515,
3159
+ "step": 460
3160
+ },
3161
+ {
3162
+ "epoch": 46.1,
3163
+ "learning_rate": 4.61e-05,
3164
+ "loss": 0.0246,
3165
+ "step": 461
3166
+ },
3167
+ {
3168
+ "epoch": 46.2,
3169
+ "learning_rate": 4.6200000000000005e-05,
3170
+ "loss": 0.0264,
3171
+ "step": 462
3172
+ },
3173
+ {
3174
+ "epoch": 46.3,
3175
+ "learning_rate": 4.630000000000001e-05,
3176
+ "loss": 0.0254,
3177
+ "step": 463
3178
+ },
3179
+ {
3180
+ "epoch": 46.4,
3181
+ "learning_rate": 4.64e-05,
3182
+ "loss": 0.0266,
3183
+ "step": 464
3184
+ },
3185
+ {
3186
+ "epoch": 46.5,
3187
+ "learning_rate": 4.6500000000000005e-05,
3188
+ "loss": 0.031,
3189
+ "step": 465
3190
+ },
3191
+ {
3192
+ "epoch": 46.6,
3193
+ "learning_rate": 4.660000000000001e-05,
3194
+ "loss": 0.0208,
3195
+ "step": 466
3196
+ },
3197
+ {
3198
+ "epoch": 46.7,
3199
+ "learning_rate": 4.6700000000000003e-05,
3200
+ "loss": 0.0287,
3201
+ "step": 467
3202
+ },
3203
+ {
3204
+ "epoch": 46.8,
3205
+ "learning_rate": 4.6800000000000006e-05,
3206
+ "loss": 0.0243,
3207
+ "step": 468
3208
+ },
3209
+ {
3210
+ "epoch": 46.9,
3211
+ "learning_rate": 4.69e-05,
3212
+ "loss": 0.0249,
3213
+ "step": 469
3214
+ },
3215
+ {
3216
+ "epoch": 47.0,
3217
+ "learning_rate": 4.7e-05,
3218
+ "loss": 0.0228,
3219
+ "step": 470
3220
+ },
3221
+ {
3222
+ "epoch": 47.1,
3223
+ "learning_rate": 4.71e-05,
3224
+ "loss": 0.0221,
3225
+ "step": 471
3226
+ },
3227
+ {
3228
+ "epoch": 47.2,
3229
+ "learning_rate": 4.72e-05,
3230
+ "loss": 0.0322,
3231
+ "step": 472
3232
+ },
3233
+ {
3234
+ "epoch": 47.3,
3235
+ "learning_rate": 4.73e-05,
3236
+ "loss": 0.0254,
3237
+ "step": 473
3238
+ },
3239
+ {
3240
+ "epoch": 47.4,
3241
+ "learning_rate": 4.74e-05,
3242
+ "loss": 0.0279,
3243
+ "step": 474
3244
+ },
3245
+ {
3246
+ "epoch": 47.5,
3247
+ "learning_rate": 4.75e-05,
3248
+ "loss": 0.0205,
3249
+ "step": 475
3250
+ },
3251
+ {
3252
+ "epoch": 47.6,
3253
+ "learning_rate": 4.76e-05,
3254
+ "loss": 0.0246,
3255
+ "step": 476
3256
+ },
3257
+ {
3258
+ "epoch": 47.7,
3259
+ "learning_rate": 4.77e-05,
3260
+ "loss": 0.0231,
3261
+ "step": 477
3262
+ },
3263
+ {
3264
+ "epoch": 47.8,
3265
+ "learning_rate": 4.78e-05,
3266
+ "loss": 0.0225,
3267
+ "step": 478
3268
+ },
3269
+ {
3270
+ "epoch": 47.9,
3271
+ "learning_rate": 4.79e-05,
3272
+ "loss": 0.0208,
3273
+ "step": 479
3274
+ },
3275
+ {
3276
+ "epoch": 48.0,
3277
+ "learning_rate": 4.8e-05,
3278
+ "loss": 0.0233,
3279
+ "step": 480
3280
+ },
3281
+ {
3282
+ "epoch": 48.0,
3283
+ "eval_accuracy_safe": 0.7960146645541073,
3284
+ "eval_accuracy_unlabeled": NaN,
3285
+ "eval_accuracy_unsafe": 0.9963735665314899,
3286
+ "eval_iou_safe": 0.7112711715528733,
3287
+ "eval_iou_unlabeled": NaN,
3288
+ "eval_iou_unsafe": 0.9902254570286859,
3289
+ "eval_loss": 0.037598393857479095,
3290
+ "eval_mean_accuracy": 0.8961941155427986,
3291
+ "eval_mean_iou": 0.8507483142907797,
3292
+ "eval_overall_accuracy": 0.9904552858267257,
3293
+ "eval_runtime": 9.9744,
3294
+ "eval_samples_per_second": 6.717,
3295
+ "eval_steps_per_second": 0.501,
3296
+ "step": 480
3297
+ },
3298
+ {
3299
+ "epoch": 48.1,
3300
+ "learning_rate": 4.8100000000000004e-05,
3301
+ "loss": 0.0208,
3302
+ "step": 481
3303
+ },
3304
+ {
3305
+ "epoch": 48.2,
3306
+ "learning_rate": 4.82e-05,
3307
+ "loss": 0.0229,
3308
+ "step": 482
3309
+ },
3310
+ {
3311
+ "epoch": 48.3,
3312
+ "learning_rate": 4.83e-05,
3313
+ "loss": 0.0232,
3314
+ "step": 483
3315
+ },
3316
+ {
3317
+ "epoch": 48.4,
3318
+ "learning_rate": 4.8400000000000004e-05,
3319
+ "loss": 0.0253,
3320
+ "step": 484
3321
+ },
3322
+ {
3323
+ "epoch": 48.5,
3324
+ "learning_rate": 4.85e-05,
3325
+ "loss": 0.0245,
3326
+ "step": 485
3327
+ },
3328
+ {
3329
+ "epoch": 48.6,
3330
+ "learning_rate": 4.86e-05,
3331
+ "loss": 0.0199,
3332
+ "step": 486
3333
+ },
3334
+ {
3335
+ "epoch": 48.7,
3336
+ "learning_rate": 4.87e-05,
3337
+ "loss": 0.0224,
3338
+ "step": 487
3339
+ },
3340
+ {
3341
+ "epoch": 48.8,
3342
+ "learning_rate": 4.88e-05,
3343
+ "loss": 0.02,
3344
+ "step": 488
3345
+ },
3346
+ {
3347
+ "epoch": 48.9,
3348
+ "learning_rate": 4.89e-05,
3349
+ "loss": 0.0299,
3350
+ "step": 489
3351
+ },
3352
+ {
3353
+ "epoch": 49.0,
3354
+ "learning_rate": 4.9e-05,
3355
+ "loss": 0.0259,
3356
+ "step": 490
3357
+ },
3358
+ {
3359
+ "epoch": 49.1,
3360
+ "learning_rate": 4.91e-05,
3361
+ "loss": 0.0209,
3362
+ "step": 491
3363
+ },
3364
+ {
3365
+ "epoch": 49.2,
3366
+ "learning_rate": 4.92e-05,
3367
+ "loss": 0.0274,
3368
+ "step": 492
3369
+ },
3370
+ {
3371
+ "epoch": 49.3,
3372
+ "learning_rate": 4.93e-05,
3373
+ "loss": 0.0199,
3374
+ "step": 493
3375
+ },
3376
+ {
3377
+ "epoch": 49.4,
3378
+ "learning_rate": 4.94e-05,
3379
+ "loss": 0.0301,
3380
+ "step": 494
3381
+ },
3382
+ {
3383
+ "epoch": 49.5,
3384
+ "learning_rate": 4.9500000000000004e-05,
3385
+ "loss": 0.022,
3386
+ "step": 495
3387
+ },
3388
+ {
3389
+ "epoch": 49.6,
3390
+ "learning_rate": 4.96e-05,
3391
+ "loss": 0.0211,
3392
+ "step": 496
3393
+ },
3394
+ {
3395
+ "epoch": 49.7,
3396
+ "learning_rate": 4.97e-05,
3397
+ "loss": 0.0185,
3398
+ "step": 497
3399
+ },
3400
+ {
3401
+ "epoch": 49.8,
3402
+ "learning_rate": 4.9800000000000004e-05,
3403
+ "loss": 0.024,
3404
+ "step": 498
3405
+ },
3406
+ {
3407
+ "epoch": 49.9,
3408
+ "learning_rate": 4.99e-05,
3409
+ "loss": 0.0223,
3410
+ "step": 499
3411
+ },
3412
+ {
3413
+ "epoch": 50.0,
3414
+ "learning_rate": 5e-05,
3415
+ "loss": 0.0288,
3416
+ "step": 500
3417
+ },
3418
+ {
3419
+ "epoch": 50.0,
3420
+ "eval_accuracy_safe": 0.7725336448201818,
3421
+ "eval_accuracy_unlabeled": NaN,
3422
+ "eval_accuracy_unsafe": 0.9964236696535715,
3423
+ "eval_iou_safe": 0.6913067476197047,
3424
+ "eval_iou_unlabeled": NaN,
3425
+ "eval_iou_unsafe": 0.989572364879132,
3426
+ "eval_loss": 0.038585416972637177,
3427
+ "eval_mean_accuracy": 0.8844786572368767,
3428
+ "eval_mean_iou": 0.8404395562494184,
3429
+ "eval_overall_accuracy": 0.9898103173099347,
3430
+ "eval_runtime": 9.9942,
3431
+ "eval_samples_per_second": 6.704,
3432
+ "eval_steps_per_second": 0.5,
3433
+ "step": 500
3434
+ },
3435
+ {
3436
+ "epoch": 50.1,
3437
+ "learning_rate": 5.0100000000000005e-05,
3438
+ "loss": 0.0228,
3439
+ "step": 501
3440
+ },
3441
+ {
3442
+ "epoch": 50.2,
3443
+ "learning_rate": 5.02e-05,
3444
+ "loss": 0.0247,
3445
+ "step": 502
3446
+ },
3447
+ {
3448
+ "epoch": 50.3,
3449
+ "learning_rate": 5.03e-05,
3450
+ "loss": 0.0207,
3451
+ "step": 503
3452
+ },
3453
+ {
3454
+ "epoch": 50.4,
3455
+ "learning_rate": 5.0400000000000005e-05,
3456
+ "loss": 0.0272,
3457
+ "step": 504
3458
+ },
3459
+ {
3460
+ "epoch": 50.5,
3461
+ "learning_rate": 5.05e-05,
3462
+ "loss": 0.0188,
3463
+ "step": 505
3464
+ },
3465
+ {
3466
+ "epoch": 50.6,
3467
+ "learning_rate": 5.0600000000000003e-05,
3468
+ "loss": 0.0261,
3469
+ "step": 506
3470
+ },
3471
+ {
3472
+ "epoch": 50.7,
3473
+ "learning_rate": 5.0700000000000006e-05,
3474
+ "loss": 0.0231,
3475
+ "step": 507
3476
+ },
3477
+ {
3478
+ "epoch": 50.8,
3479
+ "learning_rate": 5.08e-05,
3480
+ "loss": 0.0242,
3481
+ "step": 508
3482
+ },
3483
+ {
3484
+ "epoch": 50.9,
3485
+ "learning_rate": 5.0900000000000004e-05,
3486
+ "loss": 0.0226,
3487
+ "step": 509
3488
+ },
3489
+ {
3490
+ "epoch": 51.0,
3491
+ "learning_rate": 5.1000000000000006e-05,
3492
+ "loss": 0.024,
3493
+ "step": 510
3494
+ },
3495
+ {
3496
+ "epoch": 51.1,
3497
+ "learning_rate": 5.11e-05,
3498
+ "loss": 0.0216,
3499
+ "step": 511
3500
+ },
3501
+ {
3502
+ "epoch": 51.2,
3503
+ "learning_rate": 5.1200000000000004e-05,
3504
+ "loss": 0.0211,
3505
+ "step": 512
3506
+ },
3507
+ {
3508
+ "epoch": 51.3,
3509
+ "learning_rate": 5.130000000000001e-05,
3510
+ "loss": 0.0192,
3511
+ "step": 513
3512
+ },
3513
+ {
3514
+ "epoch": 51.4,
3515
+ "learning_rate": 5.14e-05,
3516
+ "loss": 0.0275,
3517
+ "step": 514
3518
+ },
3519
+ {
3520
+ "epoch": 51.5,
3521
+ "learning_rate": 5.1500000000000005e-05,
3522
+ "loss": 0.0226,
3523
+ "step": 515
3524
+ },
3525
+ {
3526
+ "epoch": 51.6,
3527
+ "learning_rate": 5.16e-05,
3528
+ "loss": 0.0212,
3529
+ "step": 516
3530
+ },
3531
+ {
3532
+ "epoch": 51.7,
3533
+ "learning_rate": 5.17e-05,
3534
+ "loss": 0.0232,
3535
+ "step": 517
3536
+ },
3537
+ {
3538
+ "epoch": 51.8,
3539
+ "learning_rate": 5.1800000000000005e-05,
3540
+ "loss": 0.022,
3541
+ "step": 518
3542
+ },
3543
+ {
3544
+ "epoch": 51.9,
3545
+ "learning_rate": 5.19e-05,
3546
+ "loss": 0.02,
3547
+ "step": 519
3548
+ },
3549
+ {
3550
+ "epoch": 52.0,
3551
+ "learning_rate": 5.2000000000000004e-05,
3552
+ "loss": 0.0266,
3553
+ "step": 520
3554
+ },
3555
+ {
3556
+ "epoch": 52.0,
3557
+ "eval_accuracy_safe": 0.7560263838612804,
3558
+ "eval_accuracy_unlabeled": NaN,
3559
+ "eval_accuracy_unsafe": 0.9976025597415196,
3560
+ "eval_iou_safe": 0.7008251349912269,
3561
+ "eval_iou_unlabeled": NaN,
3562
+ "eval_iou_unsafe": 0.990249030074391,
3563
+ "eval_loss": 0.036057572811841965,
3564
+ "eval_mean_accuracy": 0.8768144718013999,
3565
+ "eval_mean_iou": 0.845537082532809,
3566
+ "eval_overall_accuracy": 0.9904667868543027,
3567
+ "eval_runtime": 9.6421,
3568
+ "eval_samples_per_second": 6.949,
3569
+ "eval_steps_per_second": 0.519,
3570
+ "step": 520
3571
+ },
3572
+ {
3573
+ "epoch": 52.1,
3574
+ "learning_rate": 5.2100000000000006e-05,
3575
+ "loss": 0.0196,
3576
+ "step": 521
3577
+ },
3578
+ {
3579
+ "epoch": 52.2,
3580
+ "learning_rate": 5.22e-05,
3581
+ "loss": 0.0221,
3582
+ "step": 522
3583
+ },
3584
+ {
3585
+ "epoch": 52.3,
3586
+ "learning_rate": 5.2300000000000004e-05,
3587
+ "loss": 0.0208,
3588
+ "step": 523
3589
+ },
3590
+ {
3591
+ "epoch": 52.4,
3592
+ "learning_rate": 5.2400000000000007e-05,
3593
+ "loss": 0.0244,
3594
+ "step": 524
3595
+ },
3596
+ {
3597
+ "epoch": 52.5,
3598
+ "learning_rate": 5.25e-05,
3599
+ "loss": 0.0192,
3600
+ "step": 525
3601
+ },
3602
+ {
3603
+ "epoch": 52.6,
3604
+ "learning_rate": 5.2600000000000005e-05,
3605
+ "loss": 0.0231,
3606
+ "step": 526
3607
+ },
3608
+ {
3609
+ "epoch": 52.7,
3610
+ "learning_rate": 5.270000000000001e-05,
3611
+ "loss": 0.021,
3612
+ "step": 527
3613
+ },
3614
+ {
3615
+ "epoch": 52.8,
3616
+ "learning_rate": 5.28e-05,
3617
+ "loss": 0.0211,
3618
+ "step": 528
3619
+ },
3620
+ {
3621
+ "epoch": 52.9,
3622
+ "learning_rate": 5.2900000000000005e-05,
3623
+ "loss": 0.0177,
3624
+ "step": 529
3625
+ },
3626
+ {
3627
+ "epoch": 53.0,
3628
+ "learning_rate": 5.300000000000001e-05,
3629
+ "loss": 0.017,
3630
+ "step": 530
3631
+ },
3632
+ {
3633
+ "epoch": 53.1,
3634
+ "learning_rate": 5.31e-05,
3635
+ "loss": 0.0439,
3636
+ "step": 531
3637
+ },
3638
+ {
3639
+ "epoch": 53.2,
3640
+ "learning_rate": 5.3200000000000006e-05,
3641
+ "loss": 0.0237,
3642
+ "step": 532
3643
+ },
3644
+ {
3645
+ "epoch": 53.3,
3646
+ "learning_rate": 5.330000000000001e-05,
3647
+ "loss": 0.0206,
3648
+ "step": 533
3649
+ },
3650
+ {
3651
+ "epoch": 53.4,
3652
+ "learning_rate": 5.3400000000000004e-05,
3653
+ "loss": 0.0208,
3654
+ "step": 534
3655
+ },
3656
+ {
3657
+ "epoch": 53.5,
3658
+ "learning_rate": 5.3500000000000006e-05,
3659
+ "loss": 0.0194,
3660
+ "step": 535
3661
+ },
3662
+ {
3663
+ "epoch": 53.6,
3664
+ "learning_rate": 5.360000000000001e-05,
3665
+ "loss": 0.0174,
3666
+ "step": 536
3667
+ },
3668
+ {
3669
+ "epoch": 53.7,
3670
+ "learning_rate": 5.3700000000000004e-05,
3671
+ "loss": 0.032,
3672
+ "step": 537
3673
+ },
3674
+ {
3675
+ "epoch": 53.8,
3676
+ "learning_rate": 5.380000000000001e-05,
3677
+ "loss": 0.0246,
3678
+ "step": 538
3679
+ },
3680
+ {
3681
+ "epoch": 53.9,
3682
+ "learning_rate": 5.390000000000001e-05,
3683
+ "loss": 0.0193,
3684
+ "step": 539
3685
+ },
3686
+ {
3687
+ "epoch": 54.0,
3688
+ "learning_rate": 5.4000000000000005e-05,
3689
+ "loss": 0.0241,
3690
+ "step": 540
3691
+ },
3692
+ {
3693
+ "epoch": 54.0,
3694
+ "eval_accuracy_safe": 0.8121807548930035,
3695
+ "eval_accuracy_unlabeled": NaN,
3696
+ "eval_accuracy_unsafe": 0.9956612104327607,
3697
+ "eval_iou_safe": 0.7108506704276296,
3698
+ "eval_iou_unlabeled": NaN,
3699
+ "eval_iou_unsafe": 0.9900016258040716,
3700
+ "eval_loss": 0.03671713173389435,
3701
+ "eval_mean_accuracy": 0.903920982662882,
3702
+ "eval_mean_iou": 0.8504261481158506,
3703
+ "eval_overall_accuracy": 0.9902414919725105,
3704
+ "eval_runtime": 9.733,
3705
+ "eval_samples_per_second": 6.884,
3706
+ "eval_steps_per_second": 0.514,
3707
+ "step": 540
3708
+ },
3709
+ {
3710
+ "epoch": 54.1,
3711
+ "learning_rate": 5.410000000000001e-05,
3712
+ "loss": 0.025,
3713
+ "step": 541
3714
+ },
3715
+ {
3716
+ "epoch": 54.2,
3717
+ "learning_rate": 5.420000000000001e-05,
3718
+ "loss": 0.0208,
3719
+ "step": 542
3720
+ },
3721
+ {
3722
+ "epoch": 54.3,
3723
+ "learning_rate": 5.4300000000000005e-05,
3724
+ "loss": 0.0162,
3725
+ "step": 543
3726
+ },
3727
+ {
3728
+ "epoch": 54.4,
3729
+ "learning_rate": 5.440000000000001e-05,
3730
+ "loss": 0.0185,
3731
+ "step": 544
3732
+ },
3733
+ {
3734
+ "epoch": 54.5,
3735
+ "learning_rate": 5.45e-05,
3736
+ "loss": 0.0182,
3737
+ "step": 545
3738
+ },
3739
+ {
3740
+ "epoch": 54.6,
3741
+ "learning_rate": 5.4600000000000006e-05,
3742
+ "loss": 0.019,
3743
+ "step": 546
3744
+ },
3745
+ {
3746
+ "epoch": 54.7,
3747
+ "learning_rate": 5.470000000000001e-05,
3748
+ "loss": 0.0257,
3749
+ "step": 547
3750
+ },
3751
+ {
3752
+ "epoch": 54.8,
3753
+ "learning_rate": 5.4800000000000004e-05,
3754
+ "loss": 0.0286,
3755
+ "step": 548
3756
+ },
3757
+ {
3758
+ "epoch": 54.9,
3759
+ "learning_rate": 5.4900000000000006e-05,
3760
+ "loss": 0.0246,
3761
+ "step": 549
3762
+ },
3763
+ {
3764
+ "epoch": 55.0,
3765
+ "learning_rate": 5.500000000000001e-05,
3766
+ "loss": 0.0214,
3767
+ "step": 550
3768
+ },
3769
+ {
3770
+ "epoch": 55.1,
3771
+ "learning_rate": 5.5100000000000004e-05,
3772
+ "loss": 0.0245,
3773
+ "step": 551
3774
+ },
3775
+ {
3776
+ "epoch": 55.2,
3777
+ "learning_rate": 5.520000000000001e-05,
3778
+ "loss": 0.0219,
3779
+ "step": 552
3780
+ },
3781
+ {
3782
+ "epoch": 55.3,
3783
+ "learning_rate": 5.530000000000001e-05,
3784
+ "loss": 0.0203,
3785
+ "step": 553
3786
+ },
3787
+ {
3788
+ "epoch": 55.4,
3789
+ "learning_rate": 5.5400000000000005e-05,
3790
+ "loss": 0.0216,
3791
+ "step": 554
3792
+ },
3793
+ {
3794
+ "epoch": 55.5,
3795
+ "learning_rate": 5.550000000000001e-05,
3796
+ "loss": 0.0167,
3797
+ "step": 555
3798
+ },
3799
+ {
3800
+ "epoch": 55.6,
3801
+ "learning_rate": 5.560000000000001e-05,
3802
+ "loss": 0.0229,
3803
+ "step": 556
3804
+ },
3805
+ {
3806
+ "epoch": 55.7,
3807
+ "learning_rate": 5.5700000000000005e-05,
3808
+ "loss": 0.0173,
3809
+ "step": 557
3810
+ },
3811
+ {
3812
+ "epoch": 55.8,
3813
+ "learning_rate": 5.580000000000001e-05,
3814
+ "loss": 0.0197,
3815
+ "step": 558
3816
+ },
3817
+ {
3818
+ "epoch": 55.9,
3819
+ "learning_rate": 5.590000000000001e-05,
3820
+ "loss": 0.0181,
3821
+ "step": 559
3822
+ },
3823
+ {
3824
+ "epoch": 56.0,
3825
+ "learning_rate": 5.6000000000000006e-05,
3826
+ "loss": 0.0239,
3827
+ "step": 560
3828
+ },
3829
+ {
3830
+ "epoch": 56.0,
3831
+ "eval_accuracy_safe": 0.7650066884861662,
3832
+ "eval_accuracy_unlabeled": NaN,
3833
+ "eval_accuracy_unsafe": 0.9967202989102981,
3834
+ "eval_iou_safe": 0.6905937665302486,
3835
+ "eval_iou_unlabeled": NaN,
3836
+ "eval_iou_unsafe": 0.9896417850752393,
3837
+ "eval_loss": 0.041364945471286774,
3838
+ "eval_mean_accuracy": 0.8808634936982321,
3839
+ "eval_mean_iou": 0.8401177758027439,
3840
+ "eval_overall_accuracy": 0.9898758503928113,
3841
+ "eval_runtime": 9.7968,
3842
+ "eval_samples_per_second": 6.839,
3843
+ "eval_steps_per_second": 0.51,
3844
+ "step": 560
3845
+ },
3846
+ {
3847
+ "epoch": 56.1,
3848
+ "learning_rate": 5.610000000000001e-05,
3849
+ "loss": 0.0186,
3850
+ "step": 561
3851
+ },
3852
+ {
3853
+ "epoch": 56.2,
3854
+ "learning_rate": 5.620000000000001e-05,
3855
+ "loss": 0.0207,
3856
+ "step": 562
3857
+ },
3858
+ {
3859
+ "epoch": 56.3,
3860
+ "learning_rate": 5.63e-05,
3861
+ "loss": 0.0186,
3862
+ "step": 563
3863
+ },
3864
+ {
3865
+ "epoch": 56.4,
3866
+ "learning_rate": 5.6399999999999995e-05,
3867
+ "loss": 0.0218,
3868
+ "step": 564
3869
+ },
3870
+ {
3871
+ "epoch": 56.5,
3872
+ "learning_rate": 5.65e-05,
3873
+ "loss": 0.0165,
3874
+ "step": 565
3875
+ },
3876
+ {
3877
+ "epoch": 56.6,
3878
+ "learning_rate": 5.66e-05,
3879
+ "loss": 0.021,
3880
+ "step": 566
3881
+ },
3882
+ {
3883
+ "epoch": 56.7,
3884
+ "learning_rate": 5.6699999999999996e-05,
3885
+ "loss": 0.0188,
3886
+ "step": 567
3887
+ },
3888
+ {
3889
+ "epoch": 56.8,
3890
+ "learning_rate": 5.68e-05,
3891
+ "loss": 0.0171,
3892
+ "step": 568
3893
+ },
3894
+ {
3895
+ "epoch": 56.9,
3896
+ "learning_rate": 5.69e-05,
3897
+ "loss": 0.0193,
3898
+ "step": 569
3899
+ },
3900
+ {
3901
+ "epoch": 57.0,
3902
+ "learning_rate": 5.6999999999999996e-05,
3903
+ "loss": 0.0197,
3904
+ "step": 570
3905
+ },
3906
+ {
3907
+ "epoch": 57.1,
3908
+ "learning_rate": 5.71e-05,
3909
+ "loss": 0.0196,
3910
+ "step": 571
3911
+ },
3912
+ {
3913
+ "epoch": 57.2,
3914
+ "learning_rate": 5.72e-05,
3915
+ "loss": 0.0176,
3916
+ "step": 572
3917
+ },
3918
+ {
3919
+ "epoch": 57.3,
3920
+ "learning_rate": 5.73e-05,
3921
+ "loss": 0.0183,
3922
+ "step": 573
3923
+ },
3924
+ {
3925
+ "epoch": 57.4,
3926
+ "learning_rate": 5.74e-05,
3927
+ "loss": 0.0172,
3928
+ "step": 574
3929
+ },
3930
+ {
3931
+ "epoch": 57.5,
3932
+ "learning_rate": 5.7499999999999995e-05,
3933
+ "loss": 0.0222,
3934
+ "step": 575
3935
+ },
3936
+ {
3937
+ "epoch": 57.6,
3938
+ "learning_rate": 5.76e-05,
3939
+ "loss": 0.0191,
3940
+ "step": 576
3941
+ },
3942
+ {
3943
+ "epoch": 57.7,
3944
+ "learning_rate": 5.77e-05,
3945
+ "loss": 0.0159,
3946
+ "step": 577
3947
+ },
3948
+ {
3949
+ "epoch": 57.8,
3950
+ "learning_rate": 5.7799999999999995e-05,
3951
+ "loss": 0.0146,
3952
+ "step": 578
3953
+ },
3954
+ {
3955
+ "epoch": 57.9,
3956
+ "learning_rate": 5.79e-05,
3957
+ "loss": 0.0188,
3958
+ "step": 579
3959
+ },
3960
+ {
3961
+ "epoch": 58.0,
3962
+ "learning_rate": 5.8e-05,
3963
+ "loss": 0.0221,
3964
+ "step": 580
3965
+ },
3966
+ {
3967
+ "epoch": 58.0,
3968
+ "eval_accuracy_safe": 0.7976993149602353,
3969
+ "eval_accuracy_unlabeled": NaN,
3970
+ "eval_accuracy_unsafe": 0.9965618932550051,
3971
+ "eval_iou_safe": 0.7167390596532064,
3972
+ "eval_iou_unlabeled": NaN,
3973
+ "eval_iou_unsafe": 0.9904630957795426,
3974
+ "eval_loss": 0.03748689964413643,
3975
+ "eval_mean_accuracy": 0.8971306041076201,
3976
+ "eval_mean_iou": 0.8536010777163745,
3977
+ "eval_overall_accuracy": 0.9906878115525887,
3978
+ "eval_runtime": 9.8334,
3979
+ "eval_samples_per_second": 6.814,
3980
+ "eval_steps_per_second": 0.508,
3981
+ "step": 580
3982
+ },
3983
+ {
3984
+ "epoch": 58.1,
3985
+ "learning_rate": 5.8099999999999996e-05,
3986
+ "loss": 0.0206,
3987
+ "step": 581
3988
+ },
3989
+ {
3990
+ "epoch": 58.2,
3991
+ "learning_rate": 5.82e-05,
3992
+ "loss": 0.0216,
3993
+ "step": 582
3994
+ },
3995
+ {
3996
+ "epoch": 58.3,
3997
+ "learning_rate": 5.83e-05,
3998
+ "loss": 0.0168,
3999
+ "step": 583
4000
+ },
4001
+ {
4002
+ "epoch": 58.4,
4003
+ "learning_rate": 5.8399999999999997e-05,
4004
+ "loss": 0.0307,
4005
+ "step": 584
4006
+ },
4007
+ {
4008
+ "epoch": 58.5,
4009
+ "learning_rate": 5.85e-05,
4010
+ "loss": 0.0148,
4011
+ "step": 585
4012
+ },
4013
+ {
4014
+ "epoch": 58.6,
4015
+ "learning_rate": 5.86e-05,
4016
+ "loss": 0.0172,
4017
+ "step": 586
4018
+ },
4019
+ {
4020
+ "epoch": 58.7,
4021
+ "learning_rate": 5.87e-05,
4022
+ "loss": 0.0162,
4023
+ "step": 587
4024
+ },
4025
+ {
4026
+ "epoch": 58.8,
4027
+ "learning_rate": 5.88e-05,
4028
+ "loss": 0.0183,
4029
+ "step": 588
4030
+ },
4031
+ {
4032
+ "epoch": 58.9,
4033
+ "learning_rate": 5.89e-05,
4034
+ "loss": 0.0194,
4035
+ "step": 589
4036
+ },
4037
+ {
4038
+ "epoch": 59.0,
4039
+ "learning_rate": 5.9e-05,
4040
+ "loss": 0.0196,
4041
+ "step": 590
4042
+ },
4043
+ {
4044
+ "epoch": 59.1,
4045
+ "learning_rate": 5.91e-05,
4046
+ "loss": 0.0141,
4047
+ "step": 591
4048
+ },
4049
+ {
4050
+ "epoch": 59.2,
4051
+ "learning_rate": 5.92e-05,
4052
+ "loss": 0.0171,
4053
+ "step": 592
4054
+ },
4055
+ {
4056
+ "epoch": 59.3,
4057
+ "learning_rate": 5.93e-05,
4058
+ "loss": 0.0177,
4059
+ "step": 593
4060
+ },
4061
+ {
4062
+ "epoch": 59.4,
4063
+ "learning_rate": 5.94e-05,
4064
+ "loss": 0.0222,
4065
+ "step": 594
4066
+ },
4067
+ {
4068
+ "epoch": 59.5,
4069
+ "learning_rate": 5.95e-05,
4070
+ "loss": 0.0166,
4071
+ "step": 595
4072
+ },
4073
+ {
4074
+ "epoch": 59.6,
4075
+ "learning_rate": 5.96e-05,
4076
+ "loss": 0.0174,
4077
+ "step": 596
4078
+ },
4079
+ {
4080
+ "epoch": 59.7,
4081
+ "learning_rate": 5.97e-05,
4082
+ "loss": 0.0154,
4083
+ "step": 597
4084
+ },
4085
+ {
4086
+ "epoch": 59.8,
4087
+ "learning_rate": 5.9800000000000003e-05,
4088
+ "loss": 0.0232,
4089
+ "step": 598
4090
+ },
4091
+ {
4092
+ "epoch": 59.9,
4093
+ "learning_rate": 5.99e-05,
4094
+ "loss": 0.0157,
4095
+ "step": 599
4096
+ },
4097
+ {
4098
+ "epoch": 60.0,
4099
+ "learning_rate": 6e-05,
4100
+ "loss": 0.0324,
4101
+ "step": 600
4102
+ },
4103
+ {
4104
+ "epoch": 60.0,
4105
+ "eval_accuracy_safe": 0.8068685163125817,
4106
+ "eval_accuracy_unlabeled": NaN,
4107
+ "eval_accuracy_unsafe": 0.9964494839085082,
4108
+ "eval_iou_safe": 0.7225799212870262,
4109
+ "eval_iou_unlabeled": NaN,
4110
+ "eval_iou_unsafe": 0.9906261535768677,
4111
+ "eval_loss": 0.03895491361618042,
4112
+ "eval_mean_accuracy": 0.9016590001105449,
4113
+ "eval_mean_iou": 0.8566030374319469,
4114
+ "eval_overall_accuracy": 0.9908495661038071,
4115
+ "eval_runtime": 10.0022,
4116
+ "eval_samples_per_second": 6.699,
4117
+ "eval_steps_per_second": 0.5,
4118
+ "step": 600
4119
+ },
4120
+ {
4121
+ "epoch": 60.1,
4122
+ "learning_rate": 6.0100000000000004e-05,
4123
+ "loss": 0.0155,
4124
+ "step": 601
4125
+ },
4126
+ {
4127
+ "epoch": 60.2,
4128
+ "learning_rate": 6.02e-05,
4129
+ "loss": 0.0155,
4130
+ "step": 602
4131
+ },
4132
+ {
4133
+ "epoch": 60.3,
4134
+ "learning_rate": 6.03e-05,
4135
+ "loss": 0.0176,
4136
+ "step": 603
4137
+ },
4138
+ {
4139
+ "epoch": 60.4,
4140
+ "learning_rate": 6.04e-05,
4141
+ "loss": 0.0234,
4142
+ "step": 604
4143
+ },
4144
+ {
4145
+ "epoch": 60.5,
4146
+ "learning_rate": 6.05e-05,
4147
+ "loss": 0.0178,
4148
+ "step": 605
4149
+ },
4150
+ {
4151
+ "epoch": 60.6,
4152
+ "learning_rate": 6.06e-05,
4153
+ "loss": 0.0157,
4154
+ "step": 606
4155
+ },
4156
+ {
4157
+ "epoch": 60.7,
4158
+ "learning_rate": 6.07e-05,
4159
+ "loss": 0.0164,
4160
+ "step": 607
4161
+ },
4162
+ {
4163
+ "epoch": 60.8,
4164
+ "learning_rate": 6.08e-05,
4165
+ "loss": 0.0192,
4166
+ "step": 608
4167
+ },
4168
+ {
4169
+ "epoch": 60.9,
4170
+ "learning_rate": 6.09e-05,
4171
+ "loss": 0.0182,
4172
+ "step": 609
4173
+ },
4174
+ {
4175
+ "epoch": 61.0,
4176
+ "learning_rate": 6.1e-05,
4177
+ "loss": 0.0202,
4178
+ "step": 610
4179
+ },
4180
+ {
4181
+ "epoch": 61.1,
4182
+ "learning_rate": 6.110000000000001e-05,
4183
+ "loss": 0.0204,
4184
+ "step": 611
4185
+ },
4186
+ {
4187
+ "epoch": 61.2,
4188
+ "learning_rate": 6.12e-05,
4189
+ "loss": 0.0137,
4190
+ "step": 612
4191
+ },
4192
+ {
4193
+ "epoch": 61.3,
4194
+ "learning_rate": 6.13e-05,
4195
+ "loss": 0.017,
4196
+ "step": 613
4197
+ },
4198
+ {
4199
+ "epoch": 61.4,
4200
+ "learning_rate": 6.14e-05,
4201
+ "loss": 0.0159,
4202
+ "step": 614
4203
+ },
4204
+ {
4205
+ "epoch": 61.5,
4206
+ "learning_rate": 6.15e-05,
4207
+ "loss": 0.0151,
4208
+ "step": 615
4209
+ },
4210
+ {
4211
+ "epoch": 61.6,
4212
+ "learning_rate": 6.16e-05,
4213
+ "loss": 0.015,
4214
+ "step": 616
4215
+ },
4216
+ {
4217
+ "epoch": 61.7,
4218
+ "learning_rate": 6.170000000000001e-05,
4219
+ "loss": 0.0172,
4220
+ "step": 617
4221
+ },
4222
+ {
4223
+ "epoch": 61.8,
4224
+ "learning_rate": 6.18e-05,
4225
+ "loss": 0.0191,
4226
+ "step": 618
4227
+ },
4228
+ {
4229
+ "epoch": 61.9,
4230
+ "learning_rate": 6.19e-05,
4231
+ "loss": 0.0179,
4232
+ "step": 619
4233
+ },
4234
+ {
4235
+ "epoch": 62.0,
4236
+ "learning_rate": 6.2e-05,
4237
+ "loss": 0.0264,
4238
+ "step": 620
4239
+ },
4240
+ {
4241
+ "epoch": 62.0,
4242
+ "eval_accuracy_safe": 0.8224043083874002,
4243
+ "eval_accuracy_unlabeled": NaN,
4244
+ "eval_accuracy_unsafe": 0.9952494143977599,
4245
+ "eval_iou_safe": 0.7113750989954566,
4246
+ "eval_iou_unlabeled": NaN,
4247
+ "eval_iou_unsafe": 0.9898984552881916,
4248
+ "eval_loss": 0.04052896052598953,
4249
+ "eval_mean_accuracy": 0.9088268613925801,
4250
+ "eval_mean_iou": 0.8506367771418242,
4251
+ "eval_overall_accuracy": 0.9901438471096665,
4252
+ "eval_runtime": 9.9165,
4253
+ "eval_samples_per_second": 6.756,
4254
+ "eval_steps_per_second": 0.504,
4255
+ "step": 620
4256
+ },
4257
+ {
4258
+ "epoch": 62.1,
4259
+ "learning_rate": 6.21e-05,
4260
+ "loss": 0.0192,
4261
+ "step": 621
4262
+ },
4263
+ {
4264
+ "epoch": 62.2,
4265
+ "learning_rate": 6.220000000000001e-05,
4266
+ "loss": 0.0147,
4267
+ "step": 622
4268
+ },
4269
+ {
4270
+ "epoch": 62.3,
4271
+ "learning_rate": 6.23e-05,
4272
+ "loss": 0.0165,
4273
+ "step": 623
4274
+ },
4275
+ {
4276
+ "epoch": 62.4,
4277
+ "learning_rate": 6.24e-05,
4278
+ "loss": 0.0152,
4279
+ "step": 624
4280
+ },
4281
+ {
4282
+ "epoch": 62.5,
4283
+ "learning_rate": 6.25e-05,
4284
+ "loss": 0.0182,
4285
+ "step": 625
4286
+ },
4287
+ {
4288
+ "epoch": 62.6,
4289
+ "learning_rate": 6.26e-05,
4290
+ "loss": 0.0183,
4291
+ "step": 626
4292
+ },
4293
+ {
4294
+ "epoch": 62.7,
4295
+ "learning_rate": 6.27e-05,
4296
+ "loss": 0.0166,
4297
+ "step": 627
4298
+ },
4299
+ {
4300
+ "epoch": 62.8,
4301
+ "learning_rate": 6.280000000000001e-05,
4302
+ "loss": 0.0164,
4303
+ "step": 628
4304
+ },
4305
+ {
4306
+ "epoch": 62.9,
4307
+ "learning_rate": 6.29e-05,
4308
+ "loss": 0.0197,
4309
+ "step": 629
4310
+ },
4311
+ {
4312
+ "epoch": 63.0,
4313
+ "learning_rate": 6.3e-05,
4314
+ "loss": 0.0156,
4315
+ "step": 630
4316
+ },
4317
+ {
4318
+ "epoch": 63.1,
4319
+ "learning_rate": 6.31e-05,
4320
+ "loss": 0.0154,
4321
+ "step": 631
4322
+ },
4323
+ {
4324
+ "epoch": 63.2,
4325
+ "learning_rate": 6.32e-05,
4326
+ "loss": 0.0157,
4327
+ "step": 632
4328
+ },
4329
+ {
4330
+ "epoch": 63.3,
4331
+ "learning_rate": 6.330000000000001e-05,
4332
+ "loss": 0.0182,
4333
+ "step": 633
4334
+ },
4335
+ {
4336
+ "epoch": 63.4,
4337
+ "learning_rate": 6.340000000000001e-05,
4338
+ "loss": 0.0158,
4339
+ "step": 634
4340
+ },
4341
+ {
4342
+ "epoch": 63.5,
4343
+ "learning_rate": 6.35e-05,
4344
+ "loss": 0.0164,
4345
+ "step": 635
4346
+ },
4347
+ {
4348
+ "epoch": 63.6,
4349
+ "learning_rate": 6.36e-05,
4350
+ "loss": 0.0165,
4351
+ "step": 636
4352
+ },
4353
+ {
4354
+ "epoch": 63.7,
4355
+ "learning_rate": 6.37e-05,
4356
+ "loss": 0.0174,
4357
+ "step": 637
4358
+ },
4359
+ {
4360
+ "epoch": 63.8,
4361
+ "learning_rate": 6.38e-05,
4362
+ "loss": 0.0187,
4363
+ "step": 638
4364
+ },
4365
+ {
4366
+ "epoch": 63.9,
4367
+ "learning_rate": 6.390000000000001e-05,
4368
+ "loss": 0.0159,
4369
+ "step": 639
4370
+ },
4371
+ {
4372
+ "epoch": 64.0,
4373
+ "learning_rate": 6.400000000000001e-05,
4374
+ "loss": 0.0146,
4375
+ "step": 640
4376
+ },
4377
+ {
4378
+ "epoch": 64.0,
4379
+ "eval_accuracy_safe": 0.8358294686604909,
4380
+ "eval_accuracy_unlabeled": NaN,
4381
+ "eval_accuracy_unsafe": 0.995804948897749,
4382
+ "eval_iou_safe": 0.7345851134835153,
4383
+ "eval_iou_unlabeled": NaN,
4384
+ "eval_iou_unsafe": 0.9908537165576825,
4385
+ "eval_loss": 0.03560740128159523,
4386
+ "eval_mean_accuracy": 0.9158172087791199,
4387
+ "eval_mean_iou": 0.8627194150205989,
4388
+ "eval_overall_accuracy": 0.9910795297195663,
4389
+ "eval_runtime": 9.931,
4390
+ "eval_samples_per_second": 6.747,
4391
+ "eval_steps_per_second": 0.503,
4392
+ "step": 640
4393
+ },
4394
+ {
4395
+ "epoch": 64.1,
4396
+ "learning_rate": 6.41e-05,
4397
+ "loss": 0.0193,
4398
+ "step": 641
4399
+ },
4400
+ {
4401
+ "epoch": 64.2,
4402
+ "learning_rate": 6.42e-05,
4403
+ "loss": 0.0134,
4404
+ "step": 642
4405
+ },
4406
+ {
4407
+ "epoch": 64.3,
4408
+ "learning_rate": 6.43e-05,
4409
+ "loss": 0.0151,
4410
+ "step": 643
4411
+ },
4412
+ {
4413
+ "epoch": 64.4,
4414
+ "learning_rate": 6.440000000000001e-05,
4415
+ "loss": 0.0163,
4416
+ "step": 644
4417
+ },
4418
+ {
4419
+ "epoch": 64.5,
4420
+ "learning_rate": 6.450000000000001e-05,
4421
+ "loss": 0.0152,
4422
+ "step": 645
4423
+ },
4424
+ {
4425
+ "epoch": 64.6,
4426
+ "learning_rate": 6.460000000000001e-05,
4427
+ "loss": 0.0151,
4428
+ "step": 646
4429
+ },
4430
+ {
4431
+ "epoch": 64.7,
4432
+ "learning_rate": 6.47e-05,
4433
+ "loss": 0.0175,
4434
+ "step": 647
4435
+ },
4436
+ {
4437
+ "epoch": 64.8,
4438
+ "learning_rate": 6.48e-05,
4439
+ "loss": 0.0145,
4440
+ "step": 648
4441
+ },
4442
+ {
4443
+ "epoch": 64.9,
4444
+ "learning_rate": 6.49e-05,
4445
+ "loss": 0.0169,
4446
+ "step": 649
4447
+ },
4448
+ {
4449
+ "epoch": 65.0,
4450
+ "learning_rate": 6.500000000000001e-05,
4451
+ "loss": 0.0147,
4452
+ "step": 650
4453
+ },
4454
+ {
4455
+ "epoch": 65.1,
4456
+ "learning_rate": 6.510000000000001e-05,
4457
+ "loss": 0.0147,
4458
+ "step": 651
4459
+ },
4460
+ {
4461
+ "epoch": 65.2,
4462
+ "learning_rate": 6.52e-05,
4463
+ "loss": 0.0155,
4464
+ "step": 652
4465
+ },
4466
+ {
4467
+ "epoch": 65.3,
4468
+ "learning_rate": 6.53e-05,
4469
+ "loss": 0.0148,
4470
+ "step": 653
4471
+ },
4472
+ {
4473
+ "epoch": 65.4,
4474
+ "learning_rate": 6.54e-05,
4475
+ "loss": 0.0135,
4476
+ "step": 654
4477
+ },
4478
+ {
4479
+ "epoch": 65.5,
4480
+ "learning_rate": 6.55e-05,
4481
+ "loss": 0.0133,
4482
+ "step": 655
4483
+ },
4484
+ {
4485
+ "epoch": 65.6,
4486
+ "learning_rate": 6.560000000000001e-05,
4487
+ "loss": 0.0136,
4488
+ "step": 656
4489
+ },
4490
+ {
4491
+ "epoch": 65.7,
4492
+ "learning_rate": 6.570000000000001e-05,
4493
+ "loss": 0.0173,
4494
+ "step": 657
4495
+ },
4496
+ {
4497
+ "epoch": 65.8,
4498
+ "learning_rate": 6.58e-05,
4499
+ "loss": 0.0142,
4500
+ "step": 658
4501
+ },
4502
+ {
4503
+ "epoch": 65.9,
4504
+ "learning_rate": 6.59e-05,
4505
+ "loss": 0.0165,
4506
+ "step": 659
4507
+ },
4508
+ {
4509
+ "epoch": 66.0,
4510
+ "learning_rate": 6.6e-05,
4511
+ "loss": 0.0252,
4512
+ "step": 660
4513
+ },
4514
+ {
4515
+ "epoch": 66.0,
4516
+ "eval_accuracy_safe": 0.8046113931711906,
4517
+ "eval_accuracy_unlabeled": NaN,
4518
+ "eval_accuracy_unsafe": 0.9974217426194405,
4519
+ "eval_iou_safe": 0.7417778472780001,
4520
+ "eval_iou_unlabeled": NaN,
4521
+ "eval_iou_unsafe": 0.991525009544381,
4522
+ "eval_loss": 0.030962325632572174,
4523
+ "eval_mean_accuracy": 0.9010165678953155,
4524
+ "eval_mean_iou": 0.8666514284111906,
4525
+ "eval_overall_accuracy": 0.9917264340528801,
4526
+ "eval_runtime": 9.7104,
4527
+ "eval_samples_per_second": 6.9,
4528
+ "eval_steps_per_second": 0.515,
4529
+ "step": 660
4530
+ },
4531
+ {
4532
+ "epoch": 66.1,
4533
+ "learning_rate": 6.610000000000001e-05,
4534
+ "loss": 0.0154,
4535
+ "step": 661
4536
+ },
4537
+ {
4538
+ "epoch": 66.2,
4539
+ "learning_rate": 6.620000000000001e-05,
4540
+ "loss": 0.0141,
4541
+ "step": 662
4542
+ },
4543
+ {
4544
+ "epoch": 66.3,
4545
+ "learning_rate": 6.630000000000001e-05,
4546
+ "loss": 0.018,
4547
+ "step": 663
4548
+ },
4549
+ {
4550
+ "epoch": 66.4,
4551
+ "learning_rate": 6.64e-05,
4552
+ "loss": 0.0162,
4553
+ "step": 664
4554
+ },
4555
+ {
4556
+ "epoch": 66.5,
4557
+ "learning_rate": 6.65e-05,
4558
+ "loss": 0.0191,
4559
+ "step": 665
4560
+ },
4561
+ {
4562
+ "epoch": 66.6,
4563
+ "learning_rate": 6.66e-05,
4564
+ "loss": 0.0175,
4565
+ "step": 666
4566
+ },
4567
+ {
4568
+ "epoch": 66.7,
4569
+ "learning_rate": 6.670000000000001e-05,
4570
+ "loss": 0.0178,
4571
+ "step": 667
4572
+ },
4573
+ {
4574
+ "epoch": 66.8,
4575
+ "learning_rate": 6.680000000000001e-05,
4576
+ "loss": 0.0136,
4577
+ "step": 668
4578
+ },
4579
+ {
4580
+ "epoch": 66.9,
4581
+ "learning_rate": 6.690000000000001e-05,
4582
+ "loss": 0.0149,
4583
+ "step": 669
4584
+ },
4585
+ {
4586
+ "epoch": 67.0,
4587
+ "learning_rate": 6.7e-05,
4588
+ "loss": 0.0209,
4589
+ "step": 670
4590
+ },
4591
+ {
4592
+ "epoch": 67.1,
4593
+ "learning_rate": 6.71e-05,
4594
+ "loss": 0.0178,
4595
+ "step": 671
4596
+ },
4597
+ {
4598
+ "epoch": 67.2,
4599
+ "learning_rate": 6.720000000000001e-05,
4600
+ "loss": 0.017,
4601
+ "step": 672
4602
+ },
4603
+ {
4604
+ "epoch": 67.3,
4605
+ "learning_rate": 6.730000000000001e-05,
4606
+ "loss": 0.0201,
4607
+ "step": 673
4608
+ },
4609
+ {
4610
+ "epoch": 67.4,
4611
+ "learning_rate": 6.740000000000001e-05,
4612
+ "loss": 0.0164,
4613
+ "step": 674
4614
+ },
4615
+ {
4616
+ "epoch": 67.5,
4617
+ "learning_rate": 6.750000000000001e-05,
4618
+ "loss": 0.0175,
4619
+ "step": 675
4620
+ },
4621
+ {
4622
+ "epoch": 67.6,
4623
+ "learning_rate": 6.76e-05,
4624
+ "loss": 0.016,
4625
+ "step": 676
4626
+ },
4627
+ {
4628
+ "epoch": 67.7,
4629
+ "learning_rate": 6.77e-05,
4630
+ "loss": 0.0171,
4631
+ "step": 677
4632
+ },
4633
+ {
4634
+ "epoch": 67.8,
4635
+ "learning_rate": 6.780000000000001e-05,
4636
+ "loss": 0.0166,
4637
+ "step": 678
4638
+ },
4639
+ {
4640
+ "epoch": 67.9,
4641
+ "learning_rate": 6.790000000000001e-05,
4642
+ "loss": 0.02,
4643
+ "step": 679
4644
+ },
4645
+ {
4646
+ "epoch": 68.0,
4647
+ "learning_rate": 6.800000000000001e-05,
4648
+ "loss": 0.0155,
4649
+ "step": 680
4650
+ },
4651
+ {
4652
+ "epoch": 68.0,
4653
+ "eval_accuracy_safe": 0.815156842109321,
4654
+ "eval_accuracy_unlabeled": NaN,
4655
+ "eval_accuracy_unsafe": 0.9961157173259295,
4656
+ "eval_iou_safe": 0.7229034083236326,
4657
+ "eval_iou_unlabeled": NaN,
4658
+ "eval_iou_unsafe": 0.990542767020076,
4659
+ "eval_loss": 0.03587646782398224,
4660
+ "eval_mean_accuracy": 0.9056362797176253,
4661
+ "eval_mean_iou": 0.8567230876718543,
4662
+ "eval_overall_accuracy": 0.9907704823052705,
4663
+ "eval_runtime": 9.8125,
4664
+ "eval_samples_per_second": 6.828,
4665
+ "eval_steps_per_second": 0.51,
4666
+ "step": 680
4667
+ },
4668
+ {
4669
+ "epoch": 68.1,
4670
+ "learning_rate": 6.81e-05,
4671
+ "loss": 0.0142,
4672
+ "step": 681
4673
+ },
4674
+ {
4675
+ "epoch": 68.2,
4676
+ "learning_rate": 6.82e-05,
4677
+ "loss": 0.0171,
4678
+ "step": 682
4679
+ },
4680
+ {
4681
+ "epoch": 68.3,
4682
+ "learning_rate": 6.83e-05,
4683
+ "loss": 0.0248,
4684
+ "step": 683
4685
+ },
4686
+ {
4687
+ "epoch": 68.4,
4688
+ "learning_rate": 6.840000000000001e-05,
4689
+ "loss": 0.014,
4690
+ "step": 684
4691
+ },
4692
+ {
4693
+ "epoch": 68.5,
4694
+ "learning_rate": 6.850000000000001e-05,
4695
+ "loss": 0.0152,
4696
+ "step": 685
4697
+ },
4698
+ {
4699
+ "epoch": 68.6,
4700
+ "learning_rate": 6.860000000000001e-05,
4701
+ "loss": 0.0184,
4702
+ "step": 686
4703
+ },
4704
+ {
4705
+ "epoch": 68.7,
4706
+ "learning_rate": 6.87e-05,
4707
+ "loss": 0.0148,
4708
+ "step": 687
4709
+ },
4710
+ {
4711
+ "epoch": 68.8,
4712
+ "learning_rate": 6.879999999999999e-05,
4713
+ "loss": 0.0143,
4714
+ "step": 688
4715
+ },
4716
+ {
4717
+ "epoch": 68.9,
4718
+ "learning_rate": 6.89e-05,
4719
+ "loss": 0.0191,
4720
+ "step": 689
4721
+ },
4722
+ {
4723
+ "epoch": 69.0,
4724
+ "learning_rate": 6.9e-05,
4725
+ "loss": 0.014,
4726
+ "step": 690
4727
+ },
4728
+ {
4729
+ "epoch": 69.1,
4730
+ "learning_rate": 6.91e-05,
4731
+ "loss": 0.0146,
4732
+ "step": 691
4733
+ },
4734
+ {
4735
+ "epoch": 69.2,
4736
+ "learning_rate": 6.92e-05,
4737
+ "loss": 0.0141,
4738
+ "step": 692
4739
+ },
4740
+ {
4741
+ "epoch": 69.3,
4742
+ "learning_rate": 6.93e-05,
4743
+ "loss": 0.0153,
4744
+ "step": 693
4745
+ },
4746
+ {
4747
+ "epoch": 69.4,
4748
+ "learning_rate": 6.939999999999999e-05,
4749
+ "loss": 0.0192,
4750
+ "step": 694
4751
+ },
4752
+ {
4753
+ "epoch": 69.5,
4754
+ "learning_rate": 6.95e-05,
4755
+ "loss": 0.0222,
4756
+ "step": 695
4757
+ },
4758
+ {
4759
+ "epoch": 69.6,
4760
+ "learning_rate": 6.96e-05,
4761
+ "loss": 0.0168,
4762
+ "step": 696
4763
+ },
4764
+ {
4765
+ "epoch": 69.7,
4766
+ "learning_rate": 6.97e-05,
4767
+ "loss": 0.0153,
4768
+ "step": 697
4769
+ },
4770
+ {
4771
+ "epoch": 69.8,
4772
+ "learning_rate": 6.98e-05,
4773
+ "loss": 0.0147,
4774
+ "step": 698
4775
+ },
4776
+ {
4777
+ "epoch": 69.9,
4778
+ "learning_rate": 6.99e-05,
4779
+ "loss": 0.0152,
4780
+ "step": 699
4781
+ },
4782
+ {
4783
+ "epoch": 70.0,
4784
+ "learning_rate": 7e-05,
4785
+ "loss": 0.0169,
4786
+ "step": 700
4787
+ },
4788
+ {
4789
+ "epoch": 70.0,
4790
+ "eval_accuracy_safe": 0.842248102358896,
4791
+ "eval_accuracy_unlabeled": NaN,
4792
+ "eval_accuracy_unsafe": 0.9941141738681594,
4793
+ "eval_iou_safe": 0.7057702402584293,
4794
+ "eval_iou_unlabeled": NaN,
4795
+ "eval_iou_unsafe": 0.9893636761526805,
4796
+ "eval_loss": 0.049034394323825836,
4797
+ "eval_mean_accuracy": 0.9181811381135276,
4798
+ "eval_mean_iou": 0.8475669582055549,
4799
+ "eval_overall_accuracy": 0.9896282936210063,
4800
+ "eval_runtime": 9.7248,
4801
+ "eval_samples_per_second": 6.89,
4802
+ "eval_steps_per_second": 0.514,
4803
+ "step": 700
4804
+ },
4805
+ {
4806
+ "epoch": 70.1,
4807
+ "learning_rate": 7.01e-05,
4808
+ "loss": 0.023,
4809
+ "step": 701
4810
+ },
4811
+ {
4812
+ "epoch": 70.2,
4813
+ "learning_rate": 7.02e-05,
4814
+ "loss": 0.014,
4815
+ "step": 702
4816
+ },
4817
+ {
4818
+ "epoch": 70.3,
4819
+ "learning_rate": 7.03e-05,
4820
+ "loss": 0.0134,
4821
+ "step": 703
4822
+ },
4823
+ {
4824
+ "epoch": 70.4,
4825
+ "learning_rate": 7.04e-05,
4826
+ "loss": 0.0188,
4827
+ "step": 704
4828
+ },
4829
+ {
4830
+ "epoch": 70.5,
4831
+ "learning_rate": 7.05e-05,
4832
+ "loss": 0.0215,
4833
+ "step": 705
4834
+ },
4835
+ {
4836
+ "epoch": 70.6,
4837
+ "learning_rate": 7.06e-05,
4838
+ "loss": 0.0178,
4839
+ "step": 706
4840
+ },
4841
+ {
4842
+ "epoch": 70.7,
4843
+ "learning_rate": 7.07e-05,
4844
+ "loss": 0.014,
4845
+ "step": 707
4846
+ },
4847
+ {
4848
+ "epoch": 70.8,
4849
+ "learning_rate": 7.08e-05,
4850
+ "loss": 0.015,
4851
+ "step": 708
4852
+ },
4853
+ {
4854
+ "epoch": 70.9,
4855
+ "learning_rate": 7.09e-05,
4856
+ "loss": 0.016,
4857
+ "step": 709
4858
+ },
4859
+ {
4860
+ "epoch": 71.0,
4861
+ "learning_rate": 7.1e-05,
4862
+ "loss": 0.0149,
4863
+ "step": 710
4864
+ },
4865
+ {
4866
+ "epoch": 71.1,
4867
+ "learning_rate": 7.11e-05,
4868
+ "loss": 0.0155,
4869
+ "step": 711
4870
+ },
4871
+ {
4872
+ "epoch": 71.2,
4873
+ "learning_rate": 7.12e-05,
4874
+ "loss": 0.0194,
4875
+ "step": 712
4876
+ },
4877
+ {
4878
+ "epoch": 71.3,
4879
+ "learning_rate": 7.13e-05,
4880
+ "loss": 0.016,
4881
+ "step": 713
4882
+ },
4883
+ {
4884
+ "epoch": 71.4,
4885
+ "learning_rate": 7.14e-05,
4886
+ "loss": 0.0154,
4887
+ "step": 714
4888
+ },
4889
+ {
4890
+ "epoch": 71.5,
4891
+ "learning_rate": 7.15e-05,
4892
+ "loss": 0.016,
4893
+ "step": 715
4894
+ },
4895
+ {
4896
+ "epoch": 71.6,
4897
+ "learning_rate": 7.16e-05,
4898
+ "loss": 0.0125,
4899
+ "step": 716
4900
+ },
4901
+ {
4902
+ "epoch": 71.7,
4903
+ "learning_rate": 7.17e-05,
4904
+ "loss": 0.0154,
4905
+ "step": 717
4906
+ },
4907
+ {
4908
+ "epoch": 71.8,
4909
+ "learning_rate": 7.18e-05,
4910
+ "loss": 0.0205,
4911
+ "step": 718
4912
+ },
4913
+ {
4914
+ "epoch": 71.9,
4915
+ "learning_rate": 7.19e-05,
4916
+ "loss": 0.0255,
4917
+ "step": 719
4918
+ },
4919
+ {
4920
+ "epoch": 72.0,
4921
+ "learning_rate": 7.2e-05,
4922
+ "loss": 0.0142,
4923
+ "step": 720
4924
+ },
4925
+ {
4926
+ "epoch": 72.0,
4927
+ "eval_accuracy_safe": 0.7568108835355299,
4928
+ "eval_accuracy_unlabeled": NaN,
4929
+ "eval_accuracy_unsafe": 0.9974447407738386,
4930
+ "eval_iou_safe": 0.6981965160858957,
4931
+ "eval_iou_unlabeled": NaN,
4932
+ "eval_iou_unsafe": 0.9901158423210092,
4933
+ "eval_loss": 0.03573448210954666,
4934
+ "eval_mean_accuracy": 0.8771278121546843,
4935
+ "eval_mean_iou": 0.8441561792034524,
4936
+ "eval_overall_accuracy": 0.9903368024683711,
4937
+ "eval_runtime": 9.7254,
4938
+ "eval_samples_per_second": 6.889,
4939
+ "eval_steps_per_second": 0.514,
4940
+ "step": 720
4941
  }
4942
  ],
4943
  "max_steps": 20000,
4944
  "num_train_epochs": 2000,
4945
+ "total_flos": 4.4260231503371305e+18,
4946
  "trial_name": null,
4947
  "trial_params": null
4948
  }
{checkpoint-320 β†’ checkpoint-720}/training_args.bin RENAMED
File without changes
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c3787496872cbfde2990c39f7f6eeab744053e98efbf78711c6cc706db3d6f1a
3
  size 338796489
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:935226a50b81cbca3c7e35eabfb4c5b6319732154906e7ab0a6958d9485775d6
3
  size 338796489
runs/Feb08_09-49-29_robovision.csres.utexas.edu/events.out.tfevents.1707407376.robovision.csres.utexas.edu.889113.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c9c855fbc9da5924f554af4100c4d6c9e19e8c28e29739e0e9db3b3d59facd30
3
- size 129817
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:86e49011af73708fe96cb57c7134ae0bc0eeb182daca0ed6551bfd4c4bbfcbae
3
+ size 145501