Zhuoxu Huang
commited on
Commit
·
2fc2ae8
1
Parent(s):
9483bba
init
Browse files- config.json +51 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +3796 -0
- training_args.bin +3 -0
config.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_cross_proj": false,
|
| 3 |
+
"architectures": [
|
| 4 |
+
"BaseModel"
|
| 5 |
+
],
|
| 6 |
+
"backbone_dim": 2048,
|
| 7 |
+
"data_roots": [
|
| 8 |
+
"DATA/MSR-Action3D/video"
|
| 9 |
+
],
|
| 10 |
+
"dataset": "MSRACTION3D",
|
| 11 |
+
"dataset_list": [
|
| 12 |
+
"MSRACTION3D"
|
| 13 |
+
],
|
| 14 |
+
"depth": 1,
|
| 15 |
+
"dropout_rate": 0.0,
|
| 16 |
+
"epochs": 45,
|
| 17 |
+
"frames_per_clip": 24,
|
| 18 |
+
"head": 8,
|
| 19 |
+
"hidden_dim": 1024,
|
| 20 |
+
"label_smoothing": 0.0,
|
| 21 |
+
"loss_weight": 0.1,
|
| 22 |
+
"lr": 0.03,
|
| 23 |
+
"meta_list": [
|
| 24 |
+
"DATA/MSR-Action3D/msr.list"
|
| 25 |
+
],
|
| 26 |
+
"model": "PSTNet",
|
| 27 |
+
"model_init": null,
|
| 28 |
+
"model_type": "points",
|
| 29 |
+
"nsamples": 9,
|
| 30 |
+
"num_basis": 16,
|
| 31 |
+
"num_points": 2048,
|
| 32 |
+
"num_token": 4,
|
| 33 |
+
"output_dir": "MSRACTION3D_PSTNet_0.03_0.1_32_45_two_stage-1024-8-16-4-0.1-0.1",
|
| 34 |
+
"pretrain": true,
|
| 35 |
+
"print_freq": 10,
|
| 36 |
+
"radius": 0.1,
|
| 37 |
+
"resume": null,
|
| 38 |
+
"seed": 0,
|
| 39 |
+
"start_epoch": 0,
|
| 40 |
+
"step_between_clips": 1,
|
| 41 |
+
"tem": 0.1,
|
| 42 |
+
"torch_dtype": "float32",
|
| 43 |
+
"train_batch_size": 32,
|
| 44 |
+
"train_mode": "two_stage",
|
| 45 |
+
"transformers_version": "4.17.0",
|
| 46 |
+
"use_info": false,
|
| 47 |
+
"use_multi_dataset": false,
|
| 48 |
+
"warmup_ratio": 0.1,
|
| 49 |
+
"weight_decay": 0.0001,
|
| 50 |
+
"workers": 16
|
| 51 |
+
}
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d6f28e7df865b14a393ff010d6331991ccfcbb132b261a9bf0f3913bf4805fb4
|
| 3 |
+
size 42274044
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5123f7b4c73539ffd2f82658ee2be4da2e8fed84a0fe622f180a51d6882b309a
|
| 3 |
+
size 42329734
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c32a32b3a1b1fe2508299ae8071cc56531cf10c82c0c685523bdb7fbaaaa6eab
|
| 3 |
+
size 14503
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:05401beeb6af6dd52b69061c4075819aea982b0f6cc9cb991b79eee9a0181e47
|
| 3 |
+
size 559
|
trainer_state.json
ADDED
|
@@ -0,0 +1,3796 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 45.0,
|
| 5 |
+
"global_step": 6300,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.07,
|
| 12 |
+
"learning_rate": 0.00047619047619047614,
|
| 13 |
+
"loss": 0.4551,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.14,
|
| 18 |
+
"learning_rate": 0.0009523809523809523,
|
| 19 |
+
"loss": 0.4547,
|
| 20 |
+
"step": 20
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.21,
|
| 24 |
+
"learning_rate": 0.0014285714285714284,
|
| 25 |
+
"loss": 0.4544,
|
| 26 |
+
"step": 30
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.29,
|
| 30 |
+
"learning_rate": 0.0019047619047619045,
|
| 31 |
+
"loss": 0.4511,
|
| 32 |
+
"step": 40
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.36,
|
| 36 |
+
"learning_rate": 0.0023809523809523807,
|
| 37 |
+
"loss": 0.4473,
|
| 38 |
+
"step": 50
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.43,
|
| 42 |
+
"learning_rate": 0.0028571428571428567,
|
| 43 |
+
"loss": 0.4409,
|
| 44 |
+
"step": 60
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.5,
|
| 48 |
+
"learning_rate": 0.003333333333333333,
|
| 49 |
+
"loss": 0.4332,
|
| 50 |
+
"step": 70
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.57,
|
| 54 |
+
"learning_rate": 0.003809523809523809,
|
| 55 |
+
"loss": 0.4166,
|
| 56 |
+
"step": 80
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.64,
|
| 60 |
+
"learning_rate": 0.004285714285714285,
|
| 61 |
+
"loss": 0.391,
|
| 62 |
+
"step": 90
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.71,
|
| 66 |
+
"learning_rate": 0.0047619047619047615,
|
| 67 |
+
"loss": 0.3292,
|
| 68 |
+
"step": 100
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.79,
|
| 72 |
+
"learning_rate": 0.005238095238095238,
|
| 73 |
+
"loss": 0.2205,
|
| 74 |
+
"step": 110
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.86,
|
| 78 |
+
"learning_rate": 0.005714285714285713,
|
| 79 |
+
"loss": 0.1464,
|
| 80 |
+
"step": 120
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.93,
|
| 84 |
+
"learning_rate": 0.00619047619047619,
|
| 85 |
+
"loss": 0.1104,
|
| 86 |
+
"step": 130
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 1.0,
|
| 90 |
+
"learning_rate": 0.006666666666666666,
|
| 91 |
+
"loss": 0.0839,
|
| 92 |
+
"step": 140
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 1.07,
|
| 96 |
+
"learning_rate": 0.007142857142857142,
|
| 97 |
+
"loss": 0.0637,
|
| 98 |
+
"step": 150
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 1.14,
|
| 102 |
+
"learning_rate": 0.007619047619047618,
|
| 103 |
+
"loss": 0.0519,
|
| 104 |
+
"step": 160
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 1.21,
|
| 108 |
+
"learning_rate": 0.008095238095238095,
|
| 109 |
+
"loss": 0.0478,
|
| 110 |
+
"step": 170
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 1.29,
|
| 114 |
+
"learning_rate": 0.00857142857142857,
|
| 115 |
+
"loss": 0.045,
|
| 116 |
+
"step": 180
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 1.36,
|
| 120 |
+
"learning_rate": 0.009047619047619047,
|
| 121 |
+
"loss": 0.0432,
|
| 122 |
+
"step": 190
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 1.43,
|
| 126 |
+
"learning_rate": 0.009523809523809523,
|
| 127 |
+
"loss": 0.0399,
|
| 128 |
+
"step": 200
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 1.5,
|
| 132 |
+
"learning_rate": 0.009999999999999998,
|
| 133 |
+
"loss": 0.0373,
|
| 134 |
+
"step": 210
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 1.57,
|
| 138 |
+
"learning_rate": 0.010476190476190476,
|
| 139 |
+
"loss": 0.038,
|
| 140 |
+
"step": 220
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 1.64,
|
| 144 |
+
"learning_rate": 0.010952380952380951,
|
| 145 |
+
"loss": 0.0349,
|
| 146 |
+
"step": 230
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 1.71,
|
| 150 |
+
"learning_rate": 0.011428571428571427,
|
| 151 |
+
"loss": 0.0335,
|
| 152 |
+
"step": 240
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 1.79,
|
| 156 |
+
"learning_rate": 0.011904761904761904,
|
| 157 |
+
"loss": 0.0344,
|
| 158 |
+
"step": 250
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 1.86,
|
| 162 |
+
"learning_rate": 0.01238095238095238,
|
| 163 |
+
"loss": 0.0298,
|
| 164 |
+
"step": 260
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 1.93,
|
| 168 |
+
"learning_rate": 0.012857142857142855,
|
| 169 |
+
"loss": 0.0312,
|
| 170 |
+
"step": 270
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 2.0,
|
| 174 |
+
"learning_rate": 0.013333333333333332,
|
| 175 |
+
"loss": 0.0287,
|
| 176 |
+
"step": 280
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 2.07,
|
| 180 |
+
"learning_rate": 0.013809523809523808,
|
| 181 |
+
"loss": 0.0275,
|
| 182 |
+
"step": 290
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 2.14,
|
| 186 |
+
"learning_rate": 0.014285714285714284,
|
| 187 |
+
"loss": 0.0275,
|
| 188 |
+
"step": 300
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 2.21,
|
| 192 |
+
"learning_rate": 0.01476190476190476,
|
| 193 |
+
"loss": 0.0258,
|
| 194 |
+
"step": 310
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 2.29,
|
| 198 |
+
"learning_rate": 0.015238095238095236,
|
| 199 |
+
"loss": 0.0259,
|
| 200 |
+
"step": 320
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 2.36,
|
| 204 |
+
"learning_rate": 0.015714285714285715,
|
| 205 |
+
"loss": 0.0255,
|
| 206 |
+
"step": 330
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 2.43,
|
| 210 |
+
"learning_rate": 0.01619047619047619,
|
| 211 |
+
"loss": 0.0242,
|
| 212 |
+
"step": 340
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 2.5,
|
| 216 |
+
"learning_rate": 0.016666666666666666,
|
| 217 |
+
"loss": 0.0262,
|
| 218 |
+
"step": 350
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 2.57,
|
| 222 |
+
"learning_rate": 0.01714285714285714,
|
| 223 |
+
"loss": 0.0254,
|
| 224 |
+
"step": 360
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 2.64,
|
| 228 |
+
"learning_rate": 0.017619047619047618,
|
| 229 |
+
"loss": 0.0232,
|
| 230 |
+
"step": 370
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 2.71,
|
| 234 |
+
"learning_rate": 0.018095238095238095,
|
| 235 |
+
"loss": 0.0241,
|
| 236 |
+
"step": 380
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 2.79,
|
| 240 |
+
"learning_rate": 0.018571428571428572,
|
| 241 |
+
"loss": 0.0227,
|
| 242 |
+
"step": 390
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 2.86,
|
| 246 |
+
"learning_rate": 0.019047619047619046,
|
| 247 |
+
"loss": 0.0242,
|
| 248 |
+
"step": 400
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 2.93,
|
| 252 |
+
"learning_rate": 0.019523809523809523,
|
| 253 |
+
"loss": 0.0236,
|
| 254 |
+
"step": 410
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 3.0,
|
| 258 |
+
"learning_rate": 0.019999999999999997,
|
| 259 |
+
"loss": 0.023,
|
| 260 |
+
"step": 420
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 3.07,
|
| 264 |
+
"learning_rate": 0.020476190476190478,
|
| 265 |
+
"loss": 0.0213,
|
| 266 |
+
"step": 430
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 3.14,
|
| 270 |
+
"learning_rate": 0.02095238095238095,
|
| 271 |
+
"loss": 0.0214,
|
| 272 |
+
"step": 440
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 3.21,
|
| 276 |
+
"learning_rate": 0.02142857142857143,
|
| 277 |
+
"loss": 0.0219,
|
| 278 |
+
"step": 450
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 3.29,
|
| 282 |
+
"learning_rate": 0.021904761904761903,
|
| 283 |
+
"loss": 0.0206,
|
| 284 |
+
"step": 460
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 3.36,
|
| 288 |
+
"learning_rate": 0.02238095238095238,
|
| 289 |
+
"loss": 0.0214,
|
| 290 |
+
"step": 470
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 3.43,
|
| 294 |
+
"learning_rate": 0.022857142857142854,
|
| 295 |
+
"loss": 0.0213,
|
| 296 |
+
"step": 480
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 3.5,
|
| 300 |
+
"learning_rate": 0.023333333333333334,
|
| 301 |
+
"loss": 0.0212,
|
| 302 |
+
"step": 490
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 3.57,
|
| 306 |
+
"learning_rate": 0.023809523809523808,
|
| 307 |
+
"loss": 0.0209,
|
| 308 |
+
"step": 500
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 3.64,
|
| 312 |
+
"learning_rate": 0.024285714285714285,
|
| 313 |
+
"loss": 0.0198,
|
| 314 |
+
"step": 510
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 3.71,
|
| 318 |
+
"learning_rate": 0.02476190476190476,
|
| 319 |
+
"loss": 0.0206,
|
| 320 |
+
"step": 520
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 3.79,
|
| 324 |
+
"learning_rate": 0.025238095238095237,
|
| 325 |
+
"loss": 0.0195,
|
| 326 |
+
"step": 530
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 3.86,
|
| 330 |
+
"learning_rate": 0.02571428571428571,
|
| 331 |
+
"loss": 0.0223,
|
| 332 |
+
"step": 540
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 3.93,
|
| 336 |
+
"learning_rate": 0.02619047619047619,
|
| 337 |
+
"loss": 0.0207,
|
| 338 |
+
"step": 550
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 4.0,
|
| 342 |
+
"learning_rate": 0.026666666666666665,
|
| 343 |
+
"loss": 0.0197,
|
| 344 |
+
"step": 560
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 4.07,
|
| 348 |
+
"learning_rate": 0.027142857142857142,
|
| 349 |
+
"loss": 0.0209,
|
| 350 |
+
"step": 570
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 4.14,
|
| 354 |
+
"learning_rate": 0.027619047619047616,
|
| 355 |
+
"loss": 0.0188,
|
| 356 |
+
"step": 580
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 4.21,
|
| 360 |
+
"learning_rate": 0.028095238095238093,
|
| 361 |
+
"loss": 0.0181,
|
| 362 |
+
"step": 590
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 4.29,
|
| 366 |
+
"learning_rate": 0.028571428571428567,
|
| 367 |
+
"loss": 0.0184,
|
| 368 |
+
"step": 600
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 4.36,
|
| 372 |
+
"learning_rate": 0.029047619047619048,
|
| 373 |
+
"loss": 0.0178,
|
| 374 |
+
"step": 610
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 4.43,
|
| 378 |
+
"learning_rate": 0.02952380952380952,
|
| 379 |
+
"loss": 0.0177,
|
| 380 |
+
"step": 620
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 4.5,
|
| 384 |
+
"learning_rate": 0.03,
|
| 385 |
+
"loss": 0.0169,
|
| 386 |
+
"step": 630
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 4.57,
|
| 390 |
+
"learning_rate": 0.029947089947089944,
|
| 391 |
+
"loss": 0.0169,
|
| 392 |
+
"step": 640
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 4.64,
|
| 396 |
+
"learning_rate": 0.029894179894179893,
|
| 397 |
+
"loss": 0.017,
|
| 398 |
+
"step": 650
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 4.71,
|
| 402 |
+
"learning_rate": 0.02984126984126984,
|
| 403 |
+
"loss": 0.0162,
|
| 404 |
+
"step": 660
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 4.79,
|
| 408 |
+
"learning_rate": 0.029788359788359788,
|
| 409 |
+
"loss": 0.0159,
|
| 410 |
+
"step": 670
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 4.86,
|
| 414 |
+
"learning_rate": 0.029735449735449733,
|
| 415 |
+
"loss": 0.0143,
|
| 416 |
+
"step": 680
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 4.93,
|
| 420 |
+
"learning_rate": 0.029682539682539682,
|
| 421 |
+
"loss": 0.0127,
|
| 422 |
+
"step": 690
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 5.0,
|
| 426 |
+
"learning_rate": 0.029629629629629627,
|
| 427 |
+
"loss": 0.0135,
|
| 428 |
+
"step": 700
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 5.07,
|
| 432 |
+
"learning_rate": 0.029576719576719576,
|
| 433 |
+
"loss": 0.0137,
|
| 434 |
+
"step": 710
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 5.14,
|
| 438 |
+
"learning_rate": 0.02952380952380952,
|
| 439 |
+
"loss": 0.0124,
|
| 440 |
+
"step": 720
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 5.21,
|
| 444 |
+
"learning_rate": 0.02947089947089947,
|
| 445 |
+
"loss": 0.0125,
|
| 446 |
+
"step": 730
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 5.29,
|
| 450 |
+
"learning_rate": 0.029417989417989416,
|
| 451 |
+
"loss": 0.0127,
|
| 452 |
+
"step": 740
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 5.36,
|
| 456 |
+
"learning_rate": 0.029365079365079365,
|
| 457 |
+
"loss": 0.0118,
|
| 458 |
+
"step": 750
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 5.43,
|
| 462 |
+
"learning_rate": 0.02931216931216931,
|
| 463 |
+
"loss": 0.013,
|
| 464 |
+
"step": 760
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 5.5,
|
| 468 |
+
"learning_rate": 0.02925925925925926,
|
| 469 |
+
"loss": 0.0116,
|
| 470 |
+
"step": 770
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 5.57,
|
| 474 |
+
"learning_rate": 0.029206349206349205,
|
| 475 |
+
"loss": 0.0111,
|
| 476 |
+
"step": 780
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 5.64,
|
| 480 |
+
"learning_rate": 0.029153439153439153,
|
| 481 |
+
"loss": 0.0103,
|
| 482 |
+
"step": 790
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 5.71,
|
| 486 |
+
"learning_rate": 0.0291005291005291,
|
| 487 |
+
"loss": 0.011,
|
| 488 |
+
"step": 800
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 5.79,
|
| 492 |
+
"learning_rate": 0.029047619047619048,
|
| 493 |
+
"loss": 0.0102,
|
| 494 |
+
"step": 810
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 5.86,
|
| 498 |
+
"learning_rate": 0.028994708994708993,
|
| 499 |
+
"loss": 0.0097,
|
| 500 |
+
"step": 820
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 5.93,
|
| 504 |
+
"learning_rate": 0.028941798941798942,
|
| 505 |
+
"loss": 0.0094,
|
| 506 |
+
"step": 830
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 6.0,
|
| 510 |
+
"learning_rate": 0.028888888888888888,
|
| 511 |
+
"loss": 0.0102,
|
| 512 |
+
"step": 840
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 6.07,
|
| 516 |
+
"learning_rate": 0.028835978835978836,
|
| 517 |
+
"loss": 0.0091,
|
| 518 |
+
"step": 850
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 6.14,
|
| 522 |
+
"learning_rate": 0.028783068783068782,
|
| 523 |
+
"loss": 0.0086,
|
| 524 |
+
"step": 860
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 6.21,
|
| 528 |
+
"learning_rate": 0.02873015873015873,
|
| 529 |
+
"loss": 0.0096,
|
| 530 |
+
"step": 870
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 6.29,
|
| 534 |
+
"learning_rate": 0.028677248677248676,
|
| 535 |
+
"loss": 0.0091,
|
| 536 |
+
"step": 880
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 6.36,
|
| 540 |
+
"learning_rate": 0.02862433862433862,
|
| 541 |
+
"loss": 0.0076,
|
| 542 |
+
"step": 890
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 6.43,
|
| 546 |
+
"learning_rate": 0.028571428571428567,
|
| 547 |
+
"loss": 0.009,
|
| 548 |
+
"step": 900
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 6.5,
|
| 552 |
+
"learning_rate": 0.028518518518518516,
|
| 553 |
+
"loss": 0.0081,
|
| 554 |
+
"step": 910
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 6.57,
|
| 558 |
+
"learning_rate": 0.02846560846560846,
|
| 559 |
+
"loss": 0.0076,
|
| 560 |
+
"step": 920
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 6.64,
|
| 564 |
+
"learning_rate": 0.02841269841269841,
|
| 565 |
+
"loss": 0.0078,
|
| 566 |
+
"step": 930
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 6.71,
|
| 570 |
+
"learning_rate": 0.028359788359788356,
|
| 571 |
+
"loss": 0.0081,
|
| 572 |
+
"step": 940
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 6.79,
|
| 576 |
+
"learning_rate": 0.028306878306878305,
|
| 577 |
+
"loss": 0.0076,
|
| 578 |
+
"step": 950
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 6.86,
|
| 582 |
+
"learning_rate": 0.02825396825396825,
|
| 583 |
+
"loss": 0.0071,
|
| 584 |
+
"step": 960
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 6.93,
|
| 588 |
+
"learning_rate": 0.0282010582010582,
|
| 589 |
+
"loss": 0.0072,
|
| 590 |
+
"step": 970
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 7.0,
|
| 594 |
+
"learning_rate": 0.028148148148148144,
|
| 595 |
+
"loss": 0.0068,
|
| 596 |
+
"step": 980
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 7.07,
|
| 600 |
+
"learning_rate": 0.028095238095238093,
|
| 601 |
+
"loss": 0.0071,
|
| 602 |
+
"step": 990
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 7.14,
|
| 606 |
+
"learning_rate": 0.02804232804232804,
|
| 607 |
+
"loss": 0.0071,
|
| 608 |
+
"step": 1000
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 7.21,
|
| 612 |
+
"learning_rate": 0.027989417989417988,
|
| 613 |
+
"loss": 0.0066,
|
| 614 |
+
"step": 1010
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 7.29,
|
| 618 |
+
"learning_rate": 0.027936507936507933,
|
| 619 |
+
"loss": 0.0065,
|
| 620 |
+
"step": 1020
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 7.36,
|
| 624 |
+
"learning_rate": 0.027883597883597882,
|
| 625 |
+
"loss": 0.0067,
|
| 626 |
+
"step": 1030
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 7.43,
|
| 630 |
+
"learning_rate": 0.027830687830687827,
|
| 631 |
+
"loss": 0.0061,
|
| 632 |
+
"step": 1040
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 7.5,
|
| 636 |
+
"learning_rate": 0.027777777777777776,
|
| 637 |
+
"loss": 0.0063,
|
| 638 |
+
"step": 1050
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 7.57,
|
| 642 |
+
"learning_rate": 0.02772486772486772,
|
| 643 |
+
"loss": 0.0062,
|
| 644 |
+
"step": 1060
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 7.64,
|
| 648 |
+
"learning_rate": 0.02767195767195767,
|
| 649 |
+
"loss": 0.0061,
|
| 650 |
+
"step": 1070
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 7.71,
|
| 654 |
+
"learning_rate": 0.027619047619047616,
|
| 655 |
+
"loss": 0.0064,
|
| 656 |
+
"step": 1080
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 7.79,
|
| 660 |
+
"learning_rate": 0.027566137566137565,
|
| 661 |
+
"loss": 0.0069,
|
| 662 |
+
"step": 1090
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 7.86,
|
| 666 |
+
"learning_rate": 0.02751322751322751,
|
| 667 |
+
"loss": 0.0066,
|
| 668 |
+
"step": 1100
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 7.93,
|
| 672 |
+
"learning_rate": 0.02746031746031746,
|
| 673 |
+
"loss": 0.0064,
|
| 674 |
+
"step": 1110
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 8.0,
|
| 678 |
+
"learning_rate": 0.027407407407407405,
|
| 679 |
+
"loss": 0.0058,
|
| 680 |
+
"step": 1120
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 8.07,
|
| 684 |
+
"learning_rate": 0.027354497354497354,
|
| 685 |
+
"loss": 0.0057,
|
| 686 |
+
"step": 1130
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 8.14,
|
| 690 |
+
"learning_rate": 0.0273015873015873,
|
| 691 |
+
"loss": 0.006,
|
| 692 |
+
"step": 1140
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 8.21,
|
| 696 |
+
"learning_rate": 0.027248677248677248,
|
| 697 |
+
"loss": 0.0059,
|
| 698 |
+
"step": 1150
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 8.29,
|
| 702 |
+
"learning_rate": 0.027195767195767193,
|
| 703 |
+
"loss": 0.0056,
|
| 704 |
+
"step": 1160
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 8.36,
|
| 708 |
+
"learning_rate": 0.027142857142857142,
|
| 709 |
+
"loss": 0.0061,
|
| 710 |
+
"step": 1170
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 8.43,
|
| 714 |
+
"learning_rate": 0.027089947089947088,
|
| 715 |
+
"loss": 0.0062,
|
| 716 |
+
"step": 1180
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 8.5,
|
| 720 |
+
"learning_rate": 0.027037037037037037,
|
| 721 |
+
"loss": 0.0059,
|
| 722 |
+
"step": 1190
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 8.57,
|
| 726 |
+
"learning_rate": 0.026984126984126982,
|
| 727 |
+
"loss": 0.0053,
|
| 728 |
+
"step": 1200
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 8.64,
|
| 732 |
+
"learning_rate": 0.02693121693121693,
|
| 733 |
+
"loss": 0.0058,
|
| 734 |
+
"step": 1210
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 8.71,
|
| 738 |
+
"learning_rate": 0.026878306878306876,
|
| 739 |
+
"loss": 0.005,
|
| 740 |
+
"step": 1220
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 8.79,
|
| 744 |
+
"learning_rate": 0.026825396825396825,
|
| 745 |
+
"loss": 0.0049,
|
| 746 |
+
"step": 1230
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 8.86,
|
| 750 |
+
"learning_rate": 0.02677248677248677,
|
| 751 |
+
"loss": 0.0053,
|
| 752 |
+
"step": 1240
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 8.93,
|
| 756 |
+
"learning_rate": 0.02671957671957672,
|
| 757 |
+
"loss": 0.0045,
|
| 758 |
+
"step": 1250
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 9.0,
|
| 762 |
+
"learning_rate": 0.026666666666666665,
|
| 763 |
+
"loss": 0.0048,
|
| 764 |
+
"step": 1260
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 9.07,
|
| 768 |
+
"learning_rate": 0.026613756613756614,
|
| 769 |
+
"loss": 0.0046,
|
| 770 |
+
"step": 1270
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 9.14,
|
| 774 |
+
"learning_rate": 0.02656084656084656,
|
| 775 |
+
"loss": 0.0051,
|
| 776 |
+
"step": 1280
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 9.21,
|
| 780 |
+
"learning_rate": 0.026507936507936508,
|
| 781 |
+
"loss": 0.005,
|
| 782 |
+
"step": 1290
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 9.29,
|
| 786 |
+
"learning_rate": 0.026455026455026454,
|
| 787 |
+
"loss": 0.0046,
|
| 788 |
+
"step": 1300
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 9.36,
|
| 792 |
+
"learning_rate": 0.026402116402116402,
|
| 793 |
+
"loss": 0.0047,
|
| 794 |
+
"step": 1310
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 9.43,
|
| 798 |
+
"learning_rate": 0.026349206349206348,
|
| 799 |
+
"loss": 0.005,
|
| 800 |
+
"step": 1320
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 9.5,
|
| 804 |
+
"learning_rate": 0.026296296296296297,
|
| 805 |
+
"loss": 0.0045,
|
| 806 |
+
"step": 1330
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 9.57,
|
| 810 |
+
"learning_rate": 0.026243386243386242,
|
| 811 |
+
"loss": 0.0048,
|
| 812 |
+
"step": 1340
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 9.64,
|
| 816 |
+
"learning_rate": 0.02619047619047619,
|
| 817 |
+
"loss": 0.004,
|
| 818 |
+
"step": 1350
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 9.71,
|
| 822 |
+
"learning_rate": 0.026137566137566137,
|
| 823 |
+
"loss": 0.0039,
|
| 824 |
+
"step": 1360
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 9.79,
|
| 828 |
+
"learning_rate": 0.026084656084656085,
|
| 829 |
+
"loss": 0.0037,
|
| 830 |
+
"step": 1370
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 9.86,
|
| 834 |
+
"learning_rate": 0.02603174603174603,
|
| 835 |
+
"loss": 0.004,
|
| 836 |
+
"step": 1380
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 9.93,
|
| 840 |
+
"learning_rate": 0.02597883597883598,
|
| 841 |
+
"loss": 0.0036,
|
| 842 |
+
"step": 1390
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 10.0,
|
| 846 |
+
"learning_rate": 0.025925925925925925,
|
| 847 |
+
"loss": 0.0041,
|
| 848 |
+
"step": 1400
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 10.07,
|
| 852 |
+
"learning_rate": 0.02587301587301587,
|
| 853 |
+
"loss": 0.0034,
|
| 854 |
+
"step": 1410
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 10.14,
|
| 858 |
+
"learning_rate": 0.025820105820105816,
|
| 859 |
+
"loss": 0.0029,
|
| 860 |
+
"step": 1420
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 10.21,
|
| 864 |
+
"learning_rate": 0.025767195767195765,
|
| 865 |
+
"loss": 0.0037,
|
| 866 |
+
"step": 1430
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 10.29,
|
| 870 |
+
"learning_rate": 0.02571428571428571,
|
| 871 |
+
"loss": 0.0032,
|
| 872 |
+
"step": 1440
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 10.36,
|
| 876 |
+
"learning_rate": 0.02566137566137566,
|
| 877 |
+
"loss": 0.0028,
|
| 878 |
+
"step": 1450
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 10.43,
|
| 882 |
+
"learning_rate": 0.025608465608465605,
|
| 883 |
+
"loss": 0.0031,
|
| 884 |
+
"step": 1460
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 10.5,
|
| 888 |
+
"learning_rate": 0.025555555555555554,
|
| 889 |
+
"loss": 0.0031,
|
| 890 |
+
"step": 1470
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 10.57,
|
| 894 |
+
"learning_rate": 0.0255026455026455,
|
| 895 |
+
"loss": 0.0034,
|
| 896 |
+
"step": 1480
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 10.64,
|
| 900 |
+
"learning_rate": 0.025449735449735448,
|
| 901 |
+
"loss": 0.003,
|
| 902 |
+
"step": 1490
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 10.71,
|
| 906 |
+
"learning_rate": 0.025396825396825393,
|
| 907 |
+
"loss": 0.0033,
|
| 908 |
+
"step": 1500
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 10.79,
|
| 912 |
+
"learning_rate": 0.025343915343915342,
|
| 913 |
+
"loss": 0.003,
|
| 914 |
+
"step": 1510
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 10.86,
|
| 918 |
+
"learning_rate": 0.025291005291005288,
|
| 919 |
+
"loss": 0.0029,
|
| 920 |
+
"step": 1520
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 10.93,
|
| 924 |
+
"learning_rate": 0.025238095238095237,
|
| 925 |
+
"loss": 0.0031,
|
| 926 |
+
"step": 1530
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 11.0,
|
| 930 |
+
"learning_rate": 0.025185185185185182,
|
| 931 |
+
"loss": 0.0027,
|
| 932 |
+
"step": 1540
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 11.07,
|
| 936 |
+
"learning_rate": 0.02513227513227513,
|
| 937 |
+
"loss": 0.003,
|
| 938 |
+
"step": 1550
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 11.14,
|
| 942 |
+
"learning_rate": 0.025079365079365076,
|
| 943 |
+
"loss": 0.0027,
|
| 944 |
+
"step": 1560
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 11.21,
|
| 948 |
+
"learning_rate": 0.025026455026455025,
|
| 949 |
+
"loss": 0.0025,
|
| 950 |
+
"step": 1570
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 11.29,
|
| 954 |
+
"learning_rate": 0.02497354497354497,
|
| 955 |
+
"loss": 0.0027,
|
| 956 |
+
"step": 1580
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 11.36,
|
| 960 |
+
"learning_rate": 0.02492063492063492,
|
| 961 |
+
"loss": 0.0026,
|
| 962 |
+
"step": 1590
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 11.43,
|
| 966 |
+
"learning_rate": 0.024867724867724865,
|
| 967 |
+
"loss": 0.0024,
|
| 968 |
+
"step": 1600
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 11.5,
|
| 972 |
+
"learning_rate": 0.024814814814814814,
|
| 973 |
+
"loss": 0.0028,
|
| 974 |
+
"step": 1610
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 11.57,
|
| 978 |
+
"learning_rate": 0.02476190476190476,
|
| 979 |
+
"loss": 0.0027,
|
| 980 |
+
"step": 1620
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 11.64,
|
| 984 |
+
"learning_rate": 0.024708994708994708,
|
| 985 |
+
"loss": 0.0026,
|
| 986 |
+
"step": 1630
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 11.71,
|
| 990 |
+
"learning_rate": 0.024656084656084654,
|
| 991 |
+
"loss": 0.0024,
|
| 992 |
+
"step": 1640
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 11.79,
|
| 996 |
+
"learning_rate": 0.024603174603174603,
|
| 997 |
+
"loss": 0.0028,
|
| 998 |
+
"step": 1650
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 11.86,
|
| 1002 |
+
"learning_rate": 0.024550264550264548,
|
| 1003 |
+
"loss": 0.0023,
|
| 1004 |
+
"step": 1660
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 11.93,
|
| 1008 |
+
"learning_rate": 0.024497354497354497,
|
| 1009 |
+
"loss": 0.002,
|
| 1010 |
+
"step": 1670
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 12.0,
|
| 1014 |
+
"learning_rate": 0.024444444444444442,
|
| 1015 |
+
"loss": 0.0023,
|
| 1016 |
+
"step": 1680
|
| 1017 |
+
},
|
| 1018 |
+
{
|
| 1019 |
+
"epoch": 12.07,
|
| 1020 |
+
"learning_rate": 0.02439153439153439,
|
| 1021 |
+
"loss": 0.0023,
|
| 1022 |
+
"step": 1690
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 12.14,
|
| 1026 |
+
"learning_rate": 0.024338624338624337,
|
| 1027 |
+
"loss": 0.0024,
|
| 1028 |
+
"step": 1700
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 12.21,
|
| 1032 |
+
"learning_rate": 0.024285714285714285,
|
| 1033 |
+
"loss": 0.0022,
|
| 1034 |
+
"step": 1710
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 12.29,
|
| 1038 |
+
"learning_rate": 0.02423280423280423,
|
| 1039 |
+
"loss": 0.002,
|
| 1040 |
+
"step": 1720
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 12.36,
|
| 1044 |
+
"learning_rate": 0.02417989417989418,
|
| 1045 |
+
"loss": 0.0022,
|
| 1046 |
+
"step": 1730
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 12.43,
|
| 1050 |
+
"learning_rate": 0.024126984126984125,
|
| 1051 |
+
"loss": 0.0022,
|
| 1052 |
+
"step": 1740
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 12.5,
|
| 1056 |
+
"learning_rate": 0.024074074074074074,
|
| 1057 |
+
"loss": 0.0022,
|
| 1058 |
+
"step": 1750
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 12.57,
|
| 1062 |
+
"learning_rate": 0.02402116402116402,
|
| 1063 |
+
"loss": 0.0025,
|
| 1064 |
+
"step": 1760
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 12.64,
|
| 1068 |
+
"learning_rate": 0.02396825396825397,
|
| 1069 |
+
"loss": 0.0021,
|
| 1070 |
+
"step": 1770
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 12.71,
|
| 1074 |
+
"learning_rate": 0.023915343915343914,
|
| 1075 |
+
"loss": 0.0022,
|
| 1076 |
+
"step": 1780
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 12.79,
|
| 1080 |
+
"learning_rate": 0.023862433862433863,
|
| 1081 |
+
"loss": 0.0019,
|
| 1082 |
+
"step": 1790
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 12.86,
|
| 1086 |
+
"learning_rate": 0.023809523809523808,
|
| 1087 |
+
"loss": 0.0023,
|
| 1088 |
+
"step": 1800
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 12.93,
|
| 1092 |
+
"learning_rate": 0.023756613756613757,
|
| 1093 |
+
"loss": 0.002,
|
| 1094 |
+
"step": 1810
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 13.0,
|
| 1098 |
+
"learning_rate": 0.023703703703703703,
|
| 1099 |
+
"loss": 0.0018,
|
| 1100 |
+
"step": 1820
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"epoch": 13.07,
|
| 1104 |
+
"learning_rate": 0.02365079365079365,
|
| 1105 |
+
"loss": 0.002,
|
| 1106 |
+
"step": 1830
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 13.14,
|
| 1110 |
+
"learning_rate": 0.023597883597883597,
|
| 1111 |
+
"loss": 0.0021,
|
| 1112 |
+
"step": 1840
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 13.21,
|
| 1116 |
+
"learning_rate": 0.023544973544973546,
|
| 1117 |
+
"loss": 0.002,
|
| 1118 |
+
"step": 1850
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 13.29,
|
| 1122 |
+
"learning_rate": 0.02349206349206349,
|
| 1123 |
+
"loss": 0.0018,
|
| 1124 |
+
"step": 1860
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 13.36,
|
| 1128 |
+
"learning_rate": 0.02343915343915344,
|
| 1129 |
+
"loss": 0.0018,
|
| 1130 |
+
"step": 1870
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 13.43,
|
| 1134 |
+
"learning_rate": 0.023386243386243386,
|
| 1135 |
+
"loss": 0.002,
|
| 1136 |
+
"step": 1880
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 13.5,
|
| 1140 |
+
"learning_rate": 0.023333333333333334,
|
| 1141 |
+
"loss": 0.0017,
|
| 1142 |
+
"step": 1890
|
| 1143 |
+
},
|
| 1144 |
+
{
|
| 1145 |
+
"epoch": 13.57,
|
| 1146 |
+
"learning_rate": 0.02328042328042328,
|
| 1147 |
+
"loss": 0.0018,
|
| 1148 |
+
"step": 1900
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 13.64,
|
| 1152 |
+
"learning_rate": 0.02322751322751323,
|
| 1153 |
+
"loss": 0.002,
|
| 1154 |
+
"step": 1910
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 13.71,
|
| 1158 |
+
"learning_rate": 0.023174603174603174,
|
| 1159 |
+
"loss": 0.0019,
|
| 1160 |
+
"step": 1920
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 13.79,
|
| 1164 |
+
"learning_rate": 0.02312169312169312,
|
| 1165 |
+
"loss": 0.0019,
|
| 1166 |
+
"step": 1930
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 13.86,
|
| 1170 |
+
"learning_rate": 0.023068783068783065,
|
| 1171 |
+
"loss": 0.002,
|
| 1172 |
+
"step": 1940
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 13.93,
|
| 1176 |
+
"learning_rate": 0.023015873015873014,
|
| 1177 |
+
"loss": 0.0017,
|
| 1178 |
+
"step": 1950
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 14.0,
|
| 1182 |
+
"learning_rate": 0.02296296296296296,
|
| 1183 |
+
"loss": 0.0015,
|
| 1184 |
+
"step": 1960
|
| 1185 |
+
},
|
| 1186 |
+
{
|
| 1187 |
+
"epoch": 14.07,
|
| 1188 |
+
"learning_rate": 0.022910052910052908,
|
| 1189 |
+
"loss": 0.0017,
|
| 1190 |
+
"step": 1970
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 14.14,
|
| 1194 |
+
"learning_rate": 0.022857142857142854,
|
| 1195 |
+
"loss": 0.0018,
|
| 1196 |
+
"step": 1980
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 14.21,
|
| 1200 |
+
"learning_rate": 0.022804232804232803,
|
| 1201 |
+
"loss": 0.0019,
|
| 1202 |
+
"step": 1990
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 14.29,
|
| 1206 |
+
"learning_rate": 0.022751322751322748,
|
| 1207 |
+
"loss": 0.0019,
|
| 1208 |
+
"step": 2000
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 14.36,
|
| 1212 |
+
"learning_rate": 0.022698412698412697,
|
| 1213 |
+
"loss": 0.0018,
|
| 1214 |
+
"step": 2010
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 14.43,
|
| 1218 |
+
"learning_rate": 0.022645502645502642,
|
| 1219 |
+
"loss": 0.0018,
|
| 1220 |
+
"step": 2020
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 14.5,
|
| 1224 |
+
"learning_rate": 0.02259259259259259,
|
| 1225 |
+
"loss": 0.0018,
|
| 1226 |
+
"step": 2030
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"epoch": 14.57,
|
| 1230 |
+
"learning_rate": 0.022539682539682537,
|
| 1231 |
+
"loss": 0.0017,
|
| 1232 |
+
"step": 2040
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"epoch": 14.64,
|
| 1236 |
+
"learning_rate": 0.022486772486772486,
|
| 1237 |
+
"loss": 0.0019,
|
| 1238 |
+
"step": 2050
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 14.71,
|
| 1242 |
+
"learning_rate": 0.02243386243386243,
|
| 1243 |
+
"loss": 0.0018,
|
| 1244 |
+
"step": 2060
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 14.79,
|
| 1248 |
+
"learning_rate": 0.02238095238095238,
|
| 1249 |
+
"loss": 0.0015,
|
| 1250 |
+
"step": 2070
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 14.86,
|
| 1254 |
+
"learning_rate": 0.022328042328042325,
|
| 1255 |
+
"loss": 0.0018,
|
| 1256 |
+
"step": 2080
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 14.93,
|
| 1260 |
+
"learning_rate": 0.022275132275132274,
|
| 1261 |
+
"loss": 0.0017,
|
| 1262 |
+
"step": 2090
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 15.0,
|
| 1266 |
+
"learning_rate": 0.02222222222222222,
|
| 1267 |
+
"loss": 0.0015,
|
| 1268 |
+
"step": 2100
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 15.07,
|
| 1272 |
+
"learning_rate": 0.02216931216931217,
|
| 1273 |
+
"loss": 0.0016,
|
| 1274 |
+
"step": 2110
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 15.14,
|
| 1278 |
+
"learning_rate": 0.022116402116402114,
|
| 1279 |
+
"loss": 0.0016,
|
| 1280 |
+
"step": 2120
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 15.21,
|
| 1284 |
+
"learning_rate": 0.022063492063492063,
|
| 1285 |
+
"loss": 0.0016,
|
| 1286 |
+
"step": 2130
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 15.29,
|
| 1290 |
+
"learning_rate": 0.022010582010582008,
|
| 1291 |
+
"loss": 0.0016,
|
| 1292 |
+
"step": 2140
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 15.36,
|
| 1296 |
+
"learning_rate": 0.021957671957671957,
|
| 1297 |
+
"loss": 0.0017,
|
| 1298 |
+
"step": 2150
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 15.43,
|
| 1302 |
+
"learning_rate": 0.021904761904761903,
|
| 1303 |
+
"loss": 0.0021,
|
| 1304 |
+
"step": 2160
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 15.5,
|
| 1308 |
+
"learning_rate": 0.02185185185185185,
|
| 1309 |
+
"loss": 0.0018,
|
| 1310 |
+
"step": 2170
|
| 1311 |
+
},
|
| 1312 |
+
{
|
| 1313 |
+
"epoch": 15.57,
|
| 1314 |
+
"learning_rate": 0.021798941798941797,
|
| 1315 |
+
"loss": 0.0017,
|
| 1316 |
+
"step": 2180
|
| 1317 |
+
},
|
| 1318 |
+
{
|
| 1319 |
+
"epoch": 15.64,
|
| 1320 |
+
"learning_rate": 0.021746031746031746,
|
| 1321 |
+
"loss": 0.0018,
|
| 1322 |
+
"step": 2190
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 15.71,
|
| 1326 |
+
"learning_rate": 0.02169312169312169,
|
| 1327 |
+
"loss": 0.0017,
|
| 1328 |
+
"step": 2200
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 15.79,
|
| 1332 |
+
"learning_rate": 0.02164021164021164,
|
| 1333 |
+
"loss": 0.0015,
|
| 1334 |
+
"step": 2210
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 15.86,
|
| 1338 |
+
"learning_rate": 0.021587301587301586,
|
| 1339 |
+
"loss": 0.0016,
|
| 1340 |
+
"step": 2220
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 15.93,
|
| 1344 |
+
"learning_rate": 0.021534391534391534,
|
| 1345 |
+
"loss": 0.0016,
|
| 1346 |
+
"step": 2230
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 16.0,
|
| 1350 |
+
"learning_rate": 0.02148148148148148,
|
| 1351 |
+
"loss": 0.0015,
|
| 1352 |
+
"step": 2240
|
| 1353 |
+
},
|
| 1354 |
+
{
|
| 1355 |
+
"epoch": 16.07,
|
| 1356 |
+
"learning_rate": 0.02142857142857143,
|
| 1357 |
+
"loss": 0.0016,
|
| 1358 |
+
"step": 2250
|
| 1359 |
+
},
|
| 1360 |
+
{
|
| 1361 |
+
"epoch": 16.14,
|
| 1362 |
+
"learning_rate": 0.021375661375661374,
|
| 1363 |
+
"loss": 0.0016,
|
| 1364 |
+
"step": 2260
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 16.21,
|
| 1368 |
+
"learning_rate": 0.021322751322751323,
|
| 1369 |
+
"loss": 0.0015,
|
| 1370 |
+
"step": 2270
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 16.29,
|
| 1374 |
+
"learning_rate": 0.02126984126984127,
|
| 1375 |
+
"loss": 0.0017,
|
| 1376 |
+
"step": 2280
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 16.36,
|
| 1380 |
+
"learning_rate": 0.021216931216931217,
|
| 1381 |
+
"loss": 0.0017,
|
| 1382 |
+
"step": 2290
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 16.43,
|
| 1386 |
+
"learning_rate": 0.021164021164021163,
|
| 1387 |
+
"loss": 0.0015,
|
| 1388 |
+
"step": 2300
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 16.5,
|
| 1392 |
+
"learning_rate": 0.021111111111111112,
|
| 1393 |
+
"loss": 0.0014,
|
| 1394 |
+
"step": 2310
|
| 1395 |
+
},
|
| 1396 |
+
{
|
| 1397 |
+
"epoch": 16.57,
|
| 1398 |
+
"learning_rate": 0.021058201058201057,
|
| 1399 |
+
"loss": 0.0016,
|
| 1400 |
+
"step": 2320
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 16.64,
|
| 1404 |
+
"learning_rate": 0.021005291005291006,
|
| 1405 |
+
"loss": 0.0015,
|
| 1406 |
+
"step": 2330
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 16.71,
|
| 1410 |
+
"learning_rate": 0.02095238095238095,
|
| 1411 |
+
"loss": 0.0015,
|
| 1412 |
+
"step": 2340
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 16.79,
|
| 1416 |
+
"learning_rate": 0.0208994708994709,
|
| 1417 |
+
"loss": 0.0017,
|
| 1418 |
+
"step": 2350
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 16.86,
|
| 1422 |
+
"learning_rate": 0.020846560846560846,
|
| 1423 |
+
"loss": 0.0015,
|
| 1424 |
+
"step": 2360
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 16.93,
|
| 1428 |
+
"learning_rate": 0.020793650793650795,
|
| 1429 |
+
"loss": 0.0015,
|
| 1430 |
+
"step": 2370
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 17.0,
|
| 1434 |
+
"learning_rate": 0.02074074074074074,
|
| 1435 |
+
"loss": 0.0016,
|
| 1436 |
+
"step": 2380
|
| 1437 |
+
},
|
| 1438 |
+
{
|
| 1439 |
+
"epoch": 17.07,
|
| 1440 |
+
"learning_rate": 0.02068783068783069,
|
| 1441 |
+
"loss": 0.0015,
|
| 1442 |
+
"step": 2390
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 17.14,
|
| 1446 |
+
"learning_rate": 0.020634920634920634,
|
| 1447 |
+
"loss": 0.0015,
|
| 1448 |
+
"step": 2400
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"epoch": 17.21,
|
| 1452 |
+
"learning_rate": 0.020582010582010583,
|
| 1453 |
+
"loss": 0.0017,
|
| 1454 |
+
"step": 2410
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"epoch": 17.29,
|
| 1458 |
+
"learning_rate": 0.02052910052910053,
|
| 1459 |
+
"loss": 0.0017,
|
| 1460 |
+
"step": 2420
|
| 1461 |
+
},
|
| 1462 |
+
{
|
| 1463 |
+
"epoch": 17.36,
|
| 1464 |
+
"learning_rate": 0.020476190476190478,
|
| 1465 |
+
"loss": 0.0016,
|
| 1466 |
+
"step": 2430
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 17.43,
|
| 1470 |
+
"learning_rate": 0.020423280423280423,
|
| 1471 |
+
"loss": 0.0016,
|
| 1472 |
+
"step": 2440
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 17.5,
|
| 1476 |
+
"learning_rate": 0.02037037037037037,
|
| 1477 |
+
"loss": 0.0016,
|
| 1478 |
+
"step": 2450
|
| 1479 |
+
},
|
| 1480 |
+
{
|
| 1481 |
+
"epoch": 17.57,
|
| 1482 |
+
"learning_rate": 0.020317460317460314,
|
| 1483 |
+
"loss": 0.0014,
|
| 1484 |
+
"step": 2460
|
| 1485 |
+
},
|
| 1486 |
+
{
|
| 1487 |
+
"epoch": 17.64,
|
| 1488 |
+
"learning_rate": 0.020264550264550263,
|
| 1489 |
+
"loss": 0.0014,
|
| 1490 |
+
"step": 2470
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"epoch": 17.71,
|
| 1494 |
+
"learning_rate": 0.02021164021164021,
|
| 1495 |
+
"loss": 0.0015,
|
| 1496 |
+
"step": 2480
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"epoch": 17.79,
|
| 1500 |
+
"learning_rate": 0.020158730158730157,
|
| 1501 |
+
"loss": 0.0015,
|
| 1502 |
+
"step": 2490
|
| 1503 |
+
},
|
| 1504 |
+
{
|
| 1505 |
+
"epoch": 17.86,
|
| 1506 |
+
"learning_rate": 0.020105820105820103,
|
| 1507 |
+
"loss": 0.0015,
|
| 1508 |
+
"step": 2500
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 17.93,
|
| 1512 |
+
"learning_rate": 0.02005291005291005,
|
| 1513 |
+
"loss": 0.0018,
|
| 1514 |
+
"step": 2510
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 18.0,
|
| 1518 |
+
"learning_rate": 0.019999999999999997,
|
| 1519 |
+
"loss": 0.0014,
|
| 1520 |
+
"step": 2520
|
| 1521 |
+
},
|
| 1522 |
+
{
|
| 1523 |
+
"epoch": 18.07,
|
| 1524 |
+
"learning_rate": 0.019947089947089946,
|
| 1525 |
+
"loss": 0.0016,
|
| 1526 |
+
"step": 2530
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"epoch": 18.14,
|
| 1530 |
+
"learning_rate": 0.01989417989417989,
|
| 1531 |
+
"loss": 0.0015,
|
| 1532 |
+
"step": 2540
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"epoch": 18.21,
|
| 1536 |
+
"learning_rate": 0.01984126984126984,
|
| 1537 |
+
"loss": 0.0015,
|
| 1538 |
+
"step": 2550
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 18.29,
|
| 1542 |
+
"learning_rate": 0.019788359788359786,
|
| 1543 |
+
"loss": 0.0015,
|
| 1544 |
+
"step": 2560
|
| 1545 |
+
},
|
| 1546 |
+
{
|
| 1547 |
+
"epoch": 18.36,
|
| 1548 |
+
"learning_rate": 0.019735449735449734,
|
| 1549 |
+
"loss": 0.0015,
|
| 1550 |
+
"step": 2570
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 18.43,
|
| 1554 |
+
"learning_rate": 0.01968253968253968,
|
| 1555 |
+
"loss": 0.0014,
|
| 1556 |
+
"step": 2580
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 18.5,
|
| 1560 |
+
"learning_rate": 0.01962962962962963,
|
| 1561 |
+
"loss": 0.0014,
|
| 1562 |
+
"step": 2590
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"epoch": 18.57,
|
| 1566 |
+
"learning_rate": 0.019576719576719574,
|
| 1567 |
+
"loss": 0.0015,
|
| 1568 |
+
"step": 2600
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 18.64,
|
| 1572 |
+
"learning_rate": 0.019523809523809523,
|
| 1573 |
+
"loss": 0.0017,
|
| 1574 |
+
"step": 2610
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 18.71,
|
| 1578 |
+
"learning_rate": 0.01947089947089947,
|
| 1579 |
+
"loss": 0.0015,
|
| 1580 |
+
"step": 2620
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 18.79,
|
| 1584 |
+
"learning_rate": 0.019417989417989417,
|
| 1585 |
+
"loss": 0.0014,
|
| 1586 |
+
"step": 2630
|
| 1587 |
+
},
|
| 1588 |
+
{
|
| 1589 |
+
"epoch": 18.86,
|
| 1590 |
+
"learning_rate": 0.019365079365079363,
|
| 1591 |
+
"loss": 0.0015,
|
| 1592 |
+
"step": 2640
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 18.93,
|
| 1596 |
+
"learning_rate": 0.019312169312169312,
|
| 1597 |
+
"loss": 0.0014,
|
| 1598 |
+
"step": 2650
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 19.0,
|
| 1602 |
+
"learning_rate": 0.019259259259259257,
|
| 1603 |
+
"loss": 0.0014,
|
| 1604 |
+
"step": 2660
|
| 1605 |
+
},
|
| 1606 |
+
{
|
| 1607 |
+
"epoch": 19.07,
|
| 1608 |
+
"learning_rate": 0.019206349206349206,
|
| 1609 |
+
"loss": 0.0013,
|
| 1610 |
+
"step": 2670
|
| 1611 |
+
},
|
| 1612 |
+
{
|
| 1613 |
+
"epoch": 19.14,
|
| 1614 |
+
"learning_rate": 0.01915343915343915,
|
| 1615 |
+
"loss": 0.0014,
|
| 1616 |
+
"step": 2680
|
| 1617 |
+
},
|
| 1618 |
+
{
|
| 1619 |
+
"epoch": 19.21,
|
| 1620 |
+
"learning_rate": 0.0191005291005291,
|
| 1621 |
+
"loss": 0.0015,
|
| 1622 |
+
"step": 2690
|
| 1623 |
+
},
|
| 1624 |
+
{
|
| 1625 |
+
"epoch": 19.29,
|
| 1626 |
+
"learning_rate": 0.019047619047619046,
|
| 1627 |
+
"loss": 0.0014,
|
| 1628 |
+
"step": 2700
|
| 1629 |
+
},
|
| 1630 |
+
{
|
| 1631 |
+
"epoch": 19.36,
|
| 1632 |
+
"learning_rate": 0.018994708994708995,
|
| 1633 |
+
"loss": 0.0015,
|
| 1634 |
+
"step": 2710
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 19.43,
|
| 1638 |
+
"learning_rate": 0.01894179894179894,
|
| 1639 |
+
"loss": 0.0016,
|
| 1640 |
+
"step": 2720
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 19.5,
|
| 1644 |
+
"learning_rate": 0.01888888888888889,
|
| 1645 |
+
"loss": 0.0015,
|
| 1646 |
+
"step": 2730
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 19.57,
|
| 1650 |
+
"learning_rate": 0.018835978835978835,
|
| 1651 |
+
"loss": 0.0014,
|
| 1652 |
+
"step": 2740
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"epoch": 19.64,
|
| 1656 |
+
"learning_rate": 0.018783068783068783,
|
| 1657 |
+
"loss": 0.0014,
|
| 1658 |
+
"step": 2750
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 19.71,
|
| 1662 |
+
"learning_rate": 0.01873015873015873,
|
| 1663 |
+
"loss": 0.0015,
|
| 1664 |
+
"step": 2760
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 19.79,
|
| 1668 |
+
"learning_rate": 0.018677248677248678,
|
| 1669 |
+
"loss": 0.0014,
|
| 1670 |
+
"step": 2770
|
| 1671 |
+
},
|
| 1672 |
+
{
|
| 1673 |
+
"epoch": 19.86,
|
| 1674 |
+
"learning_rate": 0.018624338624338623,
|
| 1675 |
+
"loss": 0.0016,
|
| 1676 |
+
"step": 2780
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 19.93,
|
| 1680 |
+
"learning_rate": 0.018571428571428572,
|
| 1681 |
+
"loss": 0.0014,
|
| 1682 |
+
"step": 2790
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 20.0,
|
| 1686 |
+
"learning_rate": 0.018518518518518517,
|
| 1687 |
+
"loss": 0.0014,
|
| 1688 |
+
"step": 2800
|
| 1689 |
+
},
|
| 1690 |
+
{
|
| 1691 |
+
"epoch": 20.07,
|
| 1692 |
+
"learning_rate": 0.018465608465608466,
|
| 1693 |
+
"loss": 0.0014,
|
| 1694 |
+
"step": 2810
|
| 1695 |
+
},
|
| 1696 |
+
{
|
| 1697 |
+
"epoch": 20.14,
|
| 1698 |
+
"learning_rate": 0.018412698412698412,
|
| 1699 |
+
"loss": 0.0013,
|
| 1700 |
+
"step": 2820
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 20.21,
|
| 1704 |
+
"learning_rate": 0.01835978835978836,
|
| 1705 |
+
"loss": 0.0015,
|
| 1706 |
+
"step": 2830
|
| 1707 |
+
},
|
| 1708 |
+
{
|
| 1709 |
+
"epoch": 20.29,
|
| 1710 |
+
"learning_rate": 0.018306878306878306,
|
| 1711 |
+
"loss": 0.0014,
|
| 1712 |
+
"step": 2840
|
| 1713 |
+
},
|
| 1714 |
+
{
|
| 1715 |
+
"epoch": 20.36,
|
| 1716 |
+
"learning_rate": 0.018253968253968255,
|
| 1717 |
+
"loss": 0.0016,
|
| 1718 |
+
"step": 2850
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 20.43,
|
| 1722 |
+
"learning_rate": 0.0182010582010582,
|
| 1723 |
+
"loss": 0.0014,
|
| 1724 |
+
"step": 2860
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 20.5,
|
| 1728 |
+
"learning_rate": 0.01814814814814815,
|
| 1729 |
+
"loss": 0.0015,
|
| 1730 |
+
"step": 2870
|
| 1731 |
+
},
|
| 1732 |
+
{
|
| 1733 |
+
"epoch": 20.57,
|
| 1734 |
+
"learning_rate": 0.018095238095238095,
|
| 1735 |
+
"loss": 0.0015,
|
| 1736 |
+
"step": 2880
|
| 1737 |
+
},
|
| 1738 |
+
{
|
| 1739 |
+
"epoch": 20.64,
|
| 1740 |
+
"learning_rate": 0.018042328042328044,
|
| 1741 |
+
"loss": 0.0014,
|
| 1742 |
+
"step": 2890
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"epoch": 20.71,
|
| 1746 |
+
"learning_rate": 0.01798941798941799,
|
| 1747 |
+
"loss": 0.0014,
|
| 1748 |
+
"step": 2900
|
| 1749 |
+
},
|
| 1750 |
+
{
|
| 1751 |
+
"epoch": 20.79,
|
| 1752 |
+
"learning_rate": 0.017936507936507938,
|
| 1753 |
+
"loss": 0.0014,
|
| 1754 |
+
"step": 2910
|
| 1755 |
+
},
|
| 1756 |
+
{
|
| 1757 |
+
"epoch": 20.86,
|
| 1758 |
+
"learning_rate": 0.017883597883597883,
|
| 1759 |
+
"loss": 0.0014,
|
| 1760 |
+
"step": 2920
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 20.93,
|
| 1764 |
+
"learning_rate": 0.017830687830687832,
|
| 1765 |
+
"loss": 0.0016,
|
| 1766 |
+
"step": 2930
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 21.0,
|
| 1770 |
+
"learning_rate": 0.017777777777777778,
|
| 1771 |
+
"loss": 0.0014,
|
| 1772 |
+
"step": 2940
|
| 1773 |
+
},
|
| 1774 |
+
{
|
| 1775 |
+
"epoch": 21.07,
|
| 1776 |
+
"learning_rate": 0.017724867724867723,
|
| 1777 |
+
"loss": 0.0015,
|
| 1778 |
+
"step": 2950
|
| 1779 |
+
},
|
| 1780 |
+
{
|
| 1781 |
+
"epoch": 21.14,
|
| 1782 |
+
"learning_rate": 0.01767195767195767,
|
| 1783 |
+
"loss": 0.0014,
|
| 1784 |
+
"step": 2960
|
| 1785 |
+
},
|
| 1786 |
+
{
|
| 1787 |
+
"epoch": 21.21,
|
| 1788 |
+
"learning_rate": 0.017619047619047618,
|
| 1789 |
+
"loss": 0.0014,
|
| 1790 |
+
"step": 2970
|
| 1791 |
+
},
|
| 1792 |
+
{
|
| 1793 |
+
"epoch": 21.29,
|
| 1794 |
+
"learning_rate": 0.017566137566137563,
|
| 1795 |
+
"loss": 0.0012,
|
| 1796 |
+
"step": 2980
|
| 1797 |
+
},
|
| 1798 |
+
{
|
| 1799 |
+
"epoch": 21.36,
|
| 1800 |
+
"learning_rate": 0.017513227513227512,
|
| 1801 |
+
"loss": 0.0014,
|
| 1802 |
+
"step": 2990
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 21.43,
|
| 1806 |
+
"learning_rate": 0.017460317460317457,
|
| 1807 |
+
"loss": 0.0014,
|
| 1808 |
+
"step": 3000
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 21.5,
|
| 1812 |
+
"learning_rate": 0.017407407407407406,
|
| 1813 |
+
"loss": 0.0013,
|
| 1814 |
+
"step": 3010
|
| 1815 |
+
},
|
| 1816 |
+
{
|
| 1817 |
+
"epoch": 21.57,
|
| 1818 |
+
"learning_rate": 0.01735449735449735,
|
| 1819 |
+
"loss": 0.0014,
|
| 1820 |
+
"step": 3020
|
| 1821 |
+
},
|
| 1822 |
+
{
|
| 1823 |
+
"epoch": 21.64,
|
| 1824 |
+
"learning_rate": 0.0173015873015873,
|
| 1825 |
+
"loss": 0.0014,
|
| 1826 |
+
"step": 3030
|
| 1827 |
+
},
|
| 1828 |
+
{
|
| 1829 |
+
"epoch": 21.71,
|
| 1830 |
+
"learning_rate": 0.017248677248677246,
|
| 1831 |
+
"loss": 0.0013,
|
| 1832 |
+
"step": 3040
|
| 1833 |
+
},
|
| 1834 |
+
{
|
| 1835 |
+
"epoch": 21.79,
|
| 1836 |
+
"learning_rate": 0.017195767195767195,
|
| 1837 |
+
"loss": 0.0013,
|
| 1838 |
+
"step": 3050
|
| 1839 |
+
},
|
| 1840 |
+
{
|
| 1841 |
+
"epoch": 21.86,
|
| 1842 |
+
"learning_rate": 0.01714285714285714,
|
| 1843 |
+
"loss": 0.0013,
|
| 1844 |
+
"step": 3060
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 21.93,
|
| 1848 |
+
"learning_rate": 0.01708994708994709,
|
| 1849 |
+
"loss": 0.0013,
|
| 1850 |
+
"step": 3070
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 22.0,
|
| 1854 |
+
"learning_rate": 0.017037037037037035,
|
| 1855 |
+
"loss": 0.0014,
|
| 1856 |
+
"step": 3080
|
| 1857 |
+
},
|
| 1858 |
+
{
|
| 1859 |
+
"epoch": 22.07,
|
| 1860 |
+
"learning_rate": 0.016984126984126983,
|
| 1861 |
+
"loss": 0.0012,
|
| 1862 |
+
"step": 3090
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"epoch": 22.14,
|
| 1866 |
+
"learning_rate": 0.01693121693121693,
|
| 1867 |
+
"loss": 0.0013,
|
| 1868 |
+
"step": 3100
|
| 1869 |
+
},
|
| 1870 |
+
{
|
| 1871 |
+
"epoch": 22.21,
|
| 1872 |
+
"learning_rate": 0.016878306878306878,
|
| 1873 |
+
"loss": 0.0014,
|
| 1874 |
+
"step": 3110
|
| 1875 |
+
},
|
| 1876 |
+
{
|
| 1877 |
+
"epoch": 22.29,
|
| 1878 |
+
"learning_rate": 0.016825396825396823,
|
| 1879 |
+
"loss": 0.0013,
|
| 1880 |
+
"step": 3120
|
| 1881 |
+
},
|
| 1882 |
+
{
|
| 1883 |
+
"epoch": 22.36,
|
| 1884 |
+
"learning_rate": 0.016772486772486772,
|
| 1885 |
+
"loss": 0.0013,
|
| 1886 |
+
"step": 3130
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 22.43,
|
| 1890 |
+
"learning_rate": 0.016719576719576718,
|
| 1891 |
+
"loss": 0.0013,
|
| 1892 |
+
"step": 3140
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 22.5,
|
| 1896 |
+
"learning_rate": 0.016666666666666666,
|
| 1897 |
+
"loss": 0.0013,
|
| 1898 |
+
"step": 3150
|
| 1899 |
+
},
|
| 1900 |
+
{
|
| 1901 |
+
"epoch": 22.57,
|
| 1902 |
+
"learning_rate": 0.016613756613756612,
|
| 1903 |
+
"loss": 0.0014,
|
| 1904 |
+
"step": 3160
|
| 1905 |
+
},
|
| 1906 |
+
{
|
| 1907 |
+
"epoch": 22.64,
|
| 1908 |
+
"learning_rate": 0.01656084656084656,
|
| 1909 |
+
"loss": 0.0012,
|
| 1910 |
+
"step": 3170
|
| 1911 |
+
},
|
| 1912 |
+
{
|
| 1913 |
+
"epoch": 22.71,
|
| 1914 |
+
"learning_rate": 0.016507936507936506,
|
| 1915 |
+
"loss": 0.0014,
|
| 1916 |
+
"step": 3180
|
| 1917 |
+
},
|
| 1918 |
+
{
|
| 1919 |
+
"epoch": 22.79,
|
| 1920 |
+
"learning_rate": 0.016455026455026455,
|
| 1921 |
+
"loss": 0.0013,
|
| 1922 |
+
"step": 3190
|
| 1923 |
+
},
|
| 1924 |
+
{
|
| 1925 |
+
"epoch": 22.86,
|
| 1926 |
+
"learning_rate": 0.0164021164021164,
|
| 1927 |
+
"loss": 0.0014,
|
| 1928 |
+
"step": 3200
|
| 1929 |
+
},
|
| 1930 |
+
{
|
| 1931 |
+
"epoch": 22.93,
|
| 1932 |
+
"learning_rate": 0.01634920634920635,
|
| 1933 |
+
"loss": 0.0013,
|
| 1934 |
+
"step": 3210
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 23.0,
|
| 1938 |
+
"learning_rate": 0.016296296296296295,
|
| 1939 |
+
"loss": 0.0013,
|
| 1940 |
+
"step": 3220
|
| 1941 |
+
},
|
| 1942 |
+
{
|
| 1943 |
+
"epoch": 23.07,
|
| 1944 |
+
"learning_rate": 0.016243386243386244,
|
| 1945 |
+
"loss": 0.0012,
|
| 1946 |
+
"step": 3230
|
| 1947 |
+
},
|
| 1948 |
+
{
|
| 1949 |
+
"epoch": 23.14,
|
| 1950 |
+
"learning_rate": 0.01619047619047619,
|
| 1951 |
+
"loss": 0.0014,
|
| 1952 |
+
"step": 3240
|
| 1953 |
+
},
|
| 1954 |
+
{
|
| 1955 |
+
"epoch": 23.21,
|
| 1956 |
+
"learning_rate": 0.016137566137566138,
|
| 1957 |
+
"loss": 0.0015,
|
| 1958 |
+
"step": 3250
|
| 1959 |
+
},
|
| 1960 |
+
{
|
| 1961 |
+
"epoch": 23.29,
|
| 1962 |
+
"learning_rate": 0.016084656084656083,
|
| 1963 |
+
"loss": 0.0012,
|
| 1964 |
+
"step": 3260
|
| 1965 |
+
},
|
| 1966 |
+
{
|
| 1967 |
+
"epoch": 23.36,
|
| 1968 |
+
"learning_rate": 0.016031746031746032,
|
| 1969 |
+
"loss": 0.0012,
|
| 1970 |
+
"step": 3270
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 23.43,
|
| 1974 |
+
"learning_rate": 0.015978835978835978,
|
| 1975 |
+
"loss": 0.0013,
|
| 1976 |
+
"step": 3280
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 23.5,
|
| 1980 |
+
"learning_rate": 0.015925925925925927,
|
| 1981 |
+
"loss": 0.0014,
|
| 1982 |
+
"step": 3290
|
| 1983 |
+
},
|
| 1984 |
+
{
|
| 1985 |
+
"epoch": 23.57,
|
| 1986 |
+
"learning_rate": 0.015873015873015872,
|
| 1987 |
+
"loss": 0.0013,
|
| 1988 |
+
"step": 3300
|
| 1989 |
+
},
|
| 1990 |
+
{
|
| 1991 |
+
"epoch": 23.64,
|
| 1992 |
+
"learning_rate": 0.01582010582010582,
|
| 1993 |
+
"loss": 0.0013,
|
| 1994 |
+
"step": 3310
|
| 1995 |
+
},
|
| 1996 |
+
{
|
| 1997 |
+
"epoch": 23.71,
|
| 1998 |
+
"learning_rate": 0.015767195767195766,
|
| 1999 |
+
"loss": 0.0013,
|
| 2000 |
+
"step": 3320
|
| 2001 |
+
},
|
| 2002 |
+
{
|
| 2003 |
+
"epoch": 23.79,
|
| 2004 |
+
"learning_rate": 0.015714285714285715,
|
| 2005 |
+
"loss": 0.0015,
|
| 2006 |
+
"step": 3330
|
| 2007 |
+
},
|
| 2008 |
+
{
|
| 2009 |
+
"epoch": 23.86,
|
| 2010 |
+
"learning_rate": 0.01566137566137566,
|
| 2011 |
+
"loss": 0.0013,
|
| 2012 |
+
"step": 3340
|
| 2013 |
+
},
|
| 2014 |
+
{
|
| 2015 |
+
"epoch": 23.93,
|
| 2016 |
+
"learning_rate": 0.015608465608465608,
|
| 2017 |
+
"loss": 0.0012,
|
| 2018 |
+
"step": 3350
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 24.0,
|
| 2022 |
+
"learning_rate": 0.015555555555555553,
|
| 2023 |
+
"loss": 0.0014,
|
| 2024 |
+
"step": 3360
|
| 2025 |
+
},
|
| 2026 |
+
{
|
| 2027 |
+
"epoch": 24.07,
|
| 2028 |
+
"learning_rate": 0.015502645502645502,
|
| 2029 |
+
"loss": 0.0013,
|
| 2030 |
+
"step": 3370
|
| 2031 |
+
},
|
| 2032 |
+
{
|
| 2033 |
+
"epoch": 24.14,
|
| 2034 |
+
"learning_rate": 0.015449735449735448,
|
| 2035 |
+
"loss": 0.0013,
|
| 2036 |
+
"step": 3380
|
| 2037 |
+
},
|
| 2038 |
+
{
|
| 2039 |
+
"epoch": 24.21,
|
| 2040 |
+
"learning_rate": 0.015396825396825397,
|
| 2041 |
+
"loss": 0.0013,
|
| 2042 |
+
"step": 3390
|
| 2043 |
+
},
|
| 2044 |
+
{
|
| 2045 |
+
"epoch": 24.29,
|
| 2046 |
+
"learning_rate": 0.015343915343915342,
|
| 2047 |
+
"loss": 0.0013,
|
| 2048 |
+
"step": 3400
|
| 2049 |
+
},
|
| 2050 |
+
{
|
| 2051 |
+
"epoch": 24.36,
|
| 2052 |
+
"learning_rate": 0.015291005291005291,
|
| 2053 |
+
"loss": 0.0013,
|
| 2054 |
+
"step": 3410
|
| 2055 |
+
},
|
| 2056 |
+
{
|
| 2057 |
+
"epoch": 24.43,
|
| 2058 |
+
"learning_rate": 0.015238095238095236,
|
| 2059 |
+
"loss": 0.0013,
|
| 2060 |
+
"step": 3420
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 24.5,
|
| 2064 |
+
"learning_rate": 0.015185185185185185,
|
| 2065 |
+
"loss": 0.0013,
|
| 2066 |
+
"step": 3430
|
| 2067 |
+
},
|
| 2068 |
+
{
|
| 2069 |
+
"epoch": 24.57,
|
| 2070 |
+
"learning_rate": 0.01513227513227513,
|
| 2071 |
+
"loss": 0.0013,
|
| 2072 |
+
"step": 3440
|
| 2073 |
+
},
|
| 2074 |
+
{
|
| 2075 |
+
"epoch": 24.64,
|
| 2076 |
+
"learning_rate": 0.01507936507936508,
|
| 2077 |
+
"loss": 0.0013,
|
| 2078 |
+
"step": 3450
|
| 2079 |
+
},
|
| 2080 |
+
{
|
| 2081 |
+
"epoch": 24.71,
|
| 2082 |
+
"learning_rate": 0.015026455026455025,
|
| 2083 |
+
"loss": 0.0014,
|
| 2084 |
+
"step": 3460
|
| 2085 |
+
},
|
| 2086 |
+
{
|
| 2087 |
+
"epoch": 24.79,
|
| 2088 |
+
"learning_rate": 0.014973544973544972,
|
| 2089 |
+
"loss": 0.0014,
|
| 2090 |
+
"step": 3470
|
| 2091 |
+
},
|
| 2092 |
+
{
|
| 2093 |
+
"epoch": 24.86,
|
| 2094 |
+
"learning_rate": 0.01492063492063492,
|
| 2095 |
+
"loss": 0.0013,
|
| 2096 |
+
"step": 3480
|
| 2097 |
+
},
|
| 2098 |
+
{
|
| 2099 |
+
"epoch": 24.93,
|
| 2100 |
+
"learning_rate": 0.014867724867724866,
|
| 2101 |
+
"loss": 0.0012,
|
| 2102 |
+
"step": 3490
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 25.0,
|
| 2106 |
+
"learning_rate": 0.014814814814814814,
|
| 2107 |
+
"loss": 0.0012,
|
| 2108 |
+
"step": 3500
|
| 2109 |
+
},
|
| 2110 |
+
{
|
| 2111 |
+
"epoch": 25.07,
|
| 2112 |
+
"learning_rate": 0.01476190476190476,
|
| 2113 |
+
"loss": 0.0012,
|
| 2114 |
+
"step": 3510
|
| 2115 |
+
},
|
| 2116 |
+
{
|
| 2117 |
+
"epoch": 25.14,
|
| 2118 |
+
"learning_rate": 0.014708994708994708,
|
| 2119 |
+
"loss": 0.0014,
|
| 2120 |
+
"step": 3520
|
| 2121 |
+
},
|
| 2122 |
+
{
|
| 2123 |
+
"epoch": 25.21,
|
| 2124 |
+
"learning_rate": 0.014656084656084655,
|
| 2125 |
+
"loss": 0.0013,
|
| 2126 |
+
"step": 3530
|
| 2127 |
+
},
|
| 2128 |
+
{
|
| 2129 |
+
"epoch": 25.29,
|
| 2130 |
+
"learning_rate": 0.014603174603174602,
|
| 2131 |
+
"loss": 0.0014,
|
| 2132 |
+
"step": 3540
|
| 2133 |
+
},
|
| 2134 |
+
{
|
| 2135 |
+
"epoch": 25.36,
|
| 2136 |
+
"learning_rate": 0.01455026455026455,
|
| 2137 |
+
"loss": 0.0014,
|
| 2138 |
+
"step": 3550
|
| 2139 |
+
},
|
| 2140 |
+
{
|
| 2141 |
+
"epoch": 25.43,
|
| 2142 |
+
"learning_rate": 0.014497354497354497,
|
| 2143 |
+
"loss": 0.0013,
|
| 2144 |
+
"step": 3560
|
| 2145 |
+
},
|
| 2146 |
+
{
|
| 2147 |
+
"epoch": 25.5,
|
| 2148 |
+
"learning_rate": 0.014444444444444444,
|
| 2149 |
+
"loss": 0.0014,
|
| 2150 |
+
"step": 3570
|
| 2151 |
+
},
|
| 2152 |
+
{
|
| 2153 |
+
"epoch": 25.57,
|
| 2154 |
+
"learning_rate": 0.014391534391534391,
|
| 2155 |
+
"loss": 0.0013,
|
| 2156 |
+
"step": 3580
|
| 2157 |
+
},
|
| 2158 |
+
{
|
| 2159 |
+
"epoch": 25.64,
|
| 2160 |
+
"learning_rate": 0.014338624338624338,
|
| 2161 |
+
"loss": 0.0014,
|
| 2162 |
+
"step": 3590
|
| 2163 |
+
},
|
| 2164 |
+
{
|
| 2165 |
+
"epoch": 25.71,
|
| 2166 |
+
"learning_rate": 0.014285714285714284,
|
| 2167 |
+
"loss": 0.0013,
|
| 2168 |
+
"step": 3600
|
| 2169 |
+
},
|
| 2170 |
+
{
|
| 2171 |
+
"epoch": 25.79,
|
| 2172 |
+
"learning_rate": 0.01423280423280423,
|
| 2173 |
+
"loss": 0.0012,
|
| 2174 |
+
"step": 3610
|
| 2175 |
+
},
|
| 2176 |
+
{
|
| 2177 |
+
"epoch": 25.86,
|
| 2178 |
+
"learning_rate": 0.014179894179894178,
|
| 2179 |
+
"loss": 0.0013,
|
| 2180 |
+
"step": 3620
|
| 2181 |
+
},
|
| 2182 |
+
{
|
| 2183 |
+
"epoch": 25.93,
|
| 2184 |
+
"learning_rate": 0.014126984126984125,
|
| 2185 |
+
"loss": 0.0012,
|
| 2186 |
+
"step": 3630
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 26.0,
|
| 2190 |
+
"learning_rate": 0.014074074074074072,
|
| 2191 |
+
"loss": 0.0013,
|
| 2192 |
+
"step": 3640
|
| 2193 |
+
},
|
| 2194 |
+
{
|
| 2195 |
+
"epoch": 26.07,
|
| 2196 |
+
"learning_rate": 0.01402116402116402,
|
| 2197 |
+
"loss": 0.0013,
|
| 2198 |
+
"step": 3650
|
| 2199 |
+
},
|
| 2200 |
+
{
|
| 2201 |
+
"epoch": 26.14,
|
| 2202 |
+
"learning_rate": 0.013968253968253967,
|
| 2203 |
+
"loss": 0.0012,
|
| 2204 |
+
"step": 3660
|
| 2205 |
+
},
|
| 2206 |
+
{
|
| 2207 |
+
"epoch": 26.21,
|
| 2208 |
+
"learning_rate": 0.013915343915343914,
|
| 2209 |
+
"loss": 0.0013,
|
| 2210 |
+
"step": 3670
|
| 2211 |
+
},
|
| 2212 |
+
{
|
| 2213 |
+
"epoch": 26.29,
|
| 2214 |
+
"learning_rate": 0.01386243386243386,
|
| 2215 |
+
"loss": 0.0012,
|
| 2216 |
+
"step": 3680
|
| 2217 |
+
},
|
| 2218 |
+
{
|
| 2219 |
+
"epoch": 26.36,
|
| 2220 |
+
"learning_rate": 0.013809523809523808,
|
| 2221 |
+
"loss": 0.0014,
|
| 2222 |
+
"step": 3690
|
| 2223 |
+
},
|
| 2224 |
+
{
|
| 2225 |
+
"epoch": 26.43,
|
| 2226 |
+
"learning_rate": 0.013756613756613755,
|
| 2227 |
+
"loss": 0.0013,
|
| 2228 |
+
"step": 3700
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"epoch": 26.5,
|
| 2232 |
+
"learning_rate": 0.013703703703703702,
|
| 2233 |
+
"loss": 0.0013,
|
| 2234 |
+
"step": 3710
|
| 2235 |
+
},
|
| 2236 |
+
{
|
| 2237 |
+
"epoch": 26.57,
|
| 2238 |
+
"learning_rate": 0.01365079365079365,
|
| 2239 |
+
"loss": 0.0012,
|
| 2240 |
+
"step": 3720
|
| 2241 |
+
},
|
| 2242 |
+
{
|
| 2243 |
+
"epoch": 26.64,
|
| 2244 |
+
"learning_rate": 0.013597883597883597,
|
| 2245 |
+
"loss": 0.0014,
|
| 2246 |
+
"step": 3730
|
| 2247 |
+
},
|
| 2248 |
+
{
|
| 2249 |
+
"epoch": 26.71,
|
| 2250 |
+
"learning_rate": 0.013544973544973544,
|
| 2251 |
+
"loss": 0.0013,
|
| 2252 |
+
"step": 3740
|
| 2253 |
+
},
|
| 2254 |
+
{
|
| 2255 |
+
"epoch": 26.79,
|
| 2256 |
+
"learning_rate": 0.013492063492063491,
|
| 2257 |
+
"loss": 0.0013,
|
| 2258 |
+
"step": 3750
|
| 2259 |
+
},
|
| 2260 |
+
{
|
| 2261 |
+
"epoch": 26.86,
|
| 2262 |
+
"learning_rate": 0.013439153439153438,
|
| 2263 |
+
"loss": 0.0013,
|
| 2264 |
+
"step": 3760
|
| 2265 |
+
},
|
| 2266 |
+
{
|
| 2267 |
+
"epoch": 26.93,
|
| 2268 |
+
"learning_rate": 0.013386243386243385,
|
| 2269 |
+
"loss": 0.0013,
|
| 2270 |
+
"step": 3770
|
| 2271 |
+
},
|
| 2272 |
+
{
|
| 2273 |
+
"epoch": 27.0,
|
| 2274 |
+
"learning_rate": 0.013333333333333332,
|
| 2275 |
+
"loss": 0.0013,
|
| 2276 |
+
"step": 3780
|
| 2277 |
+
},
|
| 2278 |
+
{
|
| 2279 |
+
"epoch": 27.07,
|
| 2280 |
+
"learning_rate": 0.01328042328042328,
|
| 2281 |
+
"loss": 0.0012,
|
| 2282 |
+
"step": 3790
|
| 2283 |
+
},
|
| 2284 |
+
{
|
| 2285 |
+
"epoch": 27.14,
|
| 2286 |
+
"learning_rate": 0.013227513227513227,
|
| 2287 |
+
"loss": 0.0012,
|
| 2288 |
+
"step": 3800
|
| 2289 |
+
},
|
| 2290 |
+
{
|
| 2291 |
+
"epoch": 27.21,
|
| 2292 |
+
"learning_rate": 0.013174603174603174,
|
| 2293 |
+
"loss": 0.0013,
|
| 2294 |
+
"step": 3810
|
| 2295 |
+
},
|
| 2296 |
+
{
|
| 2297 |
+
"epoch": 27.29,
|
| 2298 |
+
"learning_rate": 0.013121693121693121,
|
| 2299 |
+
"loss": 0.0013,
|
| 2300 |
+
"step": 3820
|
| 2301 |
+
},
|
| 2302 |
+
{
|
| 2303 |
+
"epoch": 27.36,
|
| 2304 |
+
"learning_rate": 0.013068783068783068,
|
| 2305 |
+
"loss": 0.0013,
|
| 2306 |
+
"step": 3830
|
| 2307 |
+
},
|
| 2308 |
+
{
|
| 2309 |
+
"epoch": 27.43,
|
| 2310 |
+
"learning_rate": 0.013015873015873015,
|
| 2311 |
+
"loss": 0.0012,
|
| 2312 |
+
"step": 3840
|
| 2313 |
+
},
|
| 2314 |
+
{
|
| 2315 |
+
"epoch": 27.5,
|
| 2316 |
+
"learning_rate": 0.012962962962962963,
|
| 2317 |
+
"loss": 0.0012,
|
| 2318 |
+
"step": 3850
|
| 2319 |
+
},
|
| 2320 |
+
{
|
| 2321 |
+
"epoch": 27.57,
|
| 2322 |
+
"learning_rate": 0.012910052910052908,
|
| 2323 |
+
"loss": 0.0012,
|
| 2324 |
+
"step": 3860
|
| 2325 |
+
},
|
| 2326 |
+
{
|
| 2327 |
+
"epoch": 27.64,
|
| 2328 |
+
"learning_rate": 0.012857142857142855,
|
| 2329 |
+
"loss": 0.0012,
|
| 2330 |
+
"step": 3870
|
| 2331 |
+
},
|
| 2332 |
+
{
|
| 2333 |
+
"epoch": 27.71,
|
| 2334 |
+
"learning_rate": 0.012804232804232802,
|
| 2335 |
+
"loss": 0.0013,
|
| 2336 |
+
"step": 3880
|
| 2337 |
+
},
|
| 2338 |
+
{
|
| 2339 |
+
"epoch": 27.79,
|
| 2340 |
+
"learning_rate": 0.01275132275132275,
|
| 2341 |
+
"loss": 0.0016,
|
| 2342 |
+
"step": 3890
|
| 2343 |
+
},
|
| 2344 |
+
{
|
| 2345 |
+
"epoch": 27.86,
|
| 2346 |
+
"learning_rate": 0.012698412698412697,
|
| 2347 |
+
"loss": 0.0012,
|
| 2348 |
+
"step": 3900
|
| 2349 |
+
},
|
| 2350 |
+
{
|
| 2351 |
+
"epoch": 27.93,
|
| 2352 |
+
"learning_rate": 0.012645502645502644,
|
| 2353 |
+
"loss": 0.0013,
|
| 2354 |
+
"step": 3910
|
| 2355 |
+
},
|
| 2356 |
+
{
|
| 2357 |
+
"epoch": 28.0,
|
| 2358 |
+
"learning_rate": 0.012592592592592591,
|
| 2359 |
+
"loss": 0.0013,
|
| 2360 |
+
"step": 3920
|
| 2361 |
+
},
|
| 2362 |
+
{
|
| 2363 |
+
"epoch": 28.07,
|
| 2364 |
+
"learning_rate": 0.012539682539682538,
|
| 2365 |
+
"loss": 0.0013,
|
| 2366 |
+
"step": 3930
|
| 2367 |
+
},
|
| 2368 |
+
{
|
| 2369 |
+
"epoch": 28.14,
|
| 2370 |
+
"learning_rate": 0.012486772486772485,
|
| 2371 |
+
"loss": 0.0012,
|
| 2372 |
+
"step": 3940
|
| 2373 |
+
},
|
| 2374 |
+
{
|
| 2375 |
+
"epoch": 28.21,
|
| 2376 |
+
"learning_rate": 0.012433862433862432,
|
| 2377 |
+
"loss": 0.0012,
|
| 2378 |
+
"step": 3950
|
| 2379 |
+
},
|
| 2380 |
+
{
|
| 2381 |
+
"epoch": 28.29,
|
| 2382 |
+
"learning_rate": 0.01238095238095238,
|
| 2383 |
+
"loss": 0.0012,
|
| 2384 |
+
"step": 3960
|
| 2385 |
+
},
|
| 2386 |
+
{
|
| 2387 |
+
"epoch": 28.36,
|
| 2388 |
+
"learning_rate": 0.012328042328042327,
|
| 2389 |
+
"loss": 0.0013,
|
| 2390 |
+
"step": 3970
|
| 2391 |
+
},
|
| 2392 |
+
{
|
| 2393 |
+
"epoch": 28.43,
|
| 2394 |
+
"learning_rate": 0.012275132275132274,
|
| 2395 |
+
"loss": 0.0012,
|
| 2396 |
+
"step": 3980
|
| 2397 |
+
},
|
| 2398 |
+
{
|
| 2399 |
+
"epoch": 28.5,
|
| 2400 |
+
"learning_rate": 0.012222222222222221,
|
| 2401 |
+
"loss": 0.0013,
|
| 2402 |
+
"step": 3990
|
| 2403 |
+
},
|
| 2404 |
+
{
|
| 2405 |
+
"epoch": 28.57,
|
| 2406 |
+
"learning_rate": 0.012169312169312168,
|
| 2407 |
+
"loss": 0.0012,
|
| 2408 |
+
"step": 4000
|
| 2409 |
+
},
|
| 2410 |
+
{
|
| 2411 |
+
"epoch": 28.64,
|
| 2412 |
+
"learning_rate": 0.012116402116402115,
|
| 2413 |
+
"loss": 0.0012,
|
| 2414 |
+
"step": 4010
|
| 2415 |
+
},
|
| 2416 |
+
{
|
| 2417 |
+
"epoch": 28.71,
|
| 2418 |
+
"learning_rate": 0.012063492063492063,
|
| 2419 |
+
"loss": 0.0013,
|
| 2420 |
+
"step": 4020
|
| 2421 |
+
},
|
| 2422 |
+
{
|
| 2423 |
+
"epoch": 28.79,
|
| 2424 |
+
"learning_rate": 0.01201058201058201,
|
| 2425 |
+
"loss": 0.0011,
|
| 2426 |
+
"step": 4030
|
| 2427 |
+
},
|
| 2428 |
+
{
|
| 2429 |
+
"epoch": 28.86,
|
| 2430 |
+
"learning_rate": 0.011957671957671957,
|
| 2431 |
+
"loss": 0.0013,
|
| 2432 |
+
"step": 4040
|
| 2433 |
+
},
|
| 2434 |
+
{
|
| 2435 |
+
"epoch": 28.93,
|
| 2436 |
+
"learning_rate": 0.011904761904761904,
|
| 2437 |
+
"loss": 0.0013,
|
| 2438 |
+
"step": 4050
|
| 2439 |
+
},
|
| 2440 |
+
{
|
| 2441 |
+
"epoch": 29.0,
|
| 2442 |
+
"learning_rate": 0.011851851851851851,
|
| 2443 |
+
"loss": 0.0012,
|
| 2444 |
+
"step": 4060
|
| 2445 |
+
},
|
| 2446 |
+
{
|
| 2447 |
+
"epoch": 29.07,
|
| 2448 |
+
"learning_rate": 0.011798941798941798,
|
| 2449 |
+
"loss": 0.0011,
|
| 2450 |
+
"step": 4070
|
| 2451 |
+
},
|
| 2452 |
+
{
|
| 2453 |
+
"epoch": 29.14,
|
| 2454 |
+
"learning_rate": 0.011746031746031746,
|
| 2455 |
+
"loss": 0.0013,
|
| 2456 |
+
"step": 4080
|
| 2457 |
+
},
|
| 2458 |
+
{
|
| 2459 |
+
"epoch": 29.21,
|
| 2460 |
+
"learning_rate": 0.011693121693121693,
|
| 2461 |
+
"loss": 0.0012,
|
| 2462 |
+
"step": 4090
|
| 2463 |
+
},
|
| 2464 |
+
{
|
| 2465 |
+
"epoch": 29.29,
|
| 2466 |
+
"learning_rate": 0.01164021164021164,
|
| 2467 |
+
"loss": 0.0014,
|
| 2468 |
+
"step": 4100
|
| 2469 |
+
},
|
| 2470 |
+
{
|
| 2471 |
+
"epoch": 29.36,
|
| 2472 |
+
"learning_rate": 0.011587301587301587,
|
| 2473 |
+
"loss": 0.0012,
|
| 2474 |
+
"step": 4110
|
| 2475 |
+
},
|
| 2476 |
+
{
|
| 2477 |
+
"epoch": 29.43,
|
| 2478 |
+
"learning_rate": 0.011534391534391533,
|
| 2479 |
+
"loss": 0.0013,
|
| 2480 |
+
"step": 4120
|
| 2481 |
+
},
|
| 2482 |
+
{
|
| 2483 |
+
"epoch": 29.5,
|
| 2484 |
+
"learning_rate": 0.01148148148148148,
|
| 2485 |
+
"loss": 0.0012,
|
| 2486 |
+
"step": 4130
|
| 2487 |
+
},
|
| 2488 |
+
{
|
| 2489 |
+
"epoch": 29.57,
|
| 2490 |
+
"learning_rate": 0.011428571428571427,
|
| 2491 |
+
"loss": 0.0012,
|
| 2492 |
+
"step": 4140
|
| 2493 |
+
},
|
| 2494 |
+
{
|
| 2495 |
+
"epoch": 29.64,
|
| 2496 |
+
"learning_rate": 0.011375661375661374,
|
| 2497 |
+
"loss": 0.0013,
|
| 2498 |
+
"step": 4150
|
| 2499 |
+
},
|
| 2500 |
+
{
|
| 2501 |
+
"epoch": 29.71,
|
| 2502 |
+
"learning_rate": 0.011322751322751321,
|
| 2503 |
+
"loss": 0.0012,
|
| 2504 |
+
"step": 4160
|
| 2505 |
+
},
|
| 2506 |
+
{
|
| 2507 |
+
"epoch": 29.79,
|
| 2508 |
+
"learning_rate": 0.011269841269841268,
|
| 2509 |
+
"loss": 0.0013,
|
| 2510 |
+
"step": 4170
|
| 2511 |
+
},
|
| 2512 |
+
{
|
| 2513 |
+
"epoch": 29.86,
|
| 2514 |
+
"learning_rate": 0.011216931216931215,
|
| 2515 |
+
"loss": 0.0013,
|
| 2516 |
+
"step": 4180
|
| 2517 |
+
},
|
| 2518 |
+
{
|
| 2519 |
+
"epoch": 29.93,
|
| 2520 |
+
"learning_rate": 0.011164021164021163,
|
| 2521 |
+
"loss": 0.0013,
|
| 2522 |
+
"step": 4190
|
| 2523 |
+
},
|
| 2524 |
+
{
|
| 2525 |
+
"epoch": 30.0,
|
| 2526 |
+
"learning_rate": 0.01111111111111111,
|
| 2527 |
+
"loss": 0.0012,
|
| 2528 |
+
"step": 4200
|
| 2529 |
+
},
|
| 2530 |
+
{
|
| 2531 |
+
"epoch": 30.07,
|
| 2532 |
+
"learning_rate": 0.011058201058201057,
|
| 2533 |
+
"loss": 0.0013,
|
| 2534 |
+
"step": 4210
|
| 2535 |
+
},
|
| 2536 |
+
{
|
| 2537 |
+
"epoch": 30.14,
|
| 2538 |
+
"learning_rate": 0.011005291005291004,
|
| 2539 |
+
"loss": 0.0012,
|
| 2540 |
+
"step": 4220
|
| 2541 |
+
},
|
| 2542 |
+
{
|
| 2543 |
+
"epoch": 30.21,
|
| 2544 |
+
"learning_rate": 0.010952380952380951,
|
| 2545 |
+
"loss": 0.0012,
|
| 2546 |
+
"step": 4230
|
| 2547 |
+
},
|
| 2548 |
+
{
|
| 2549 |
+
"epoch": 30.29,
|
| 2550 |
+
"learning_rate": 0.010899470899470898,
|
| 2551 |
+
"loss": 0.0012,
|
| 2552 |
+
"step": 4240
|
| 2553 |
+
},
|
| 2554 |
+
{
|
| 2555 |
+
"epoch": 30.36,
|
| 2556 |
+
"learning_rate": 0.010846560846560846,
|
| 2557 |
+
"loss": 0.0012,
|
| 2558 |
+
"step": 4250
|
| 2559 |
+
},
|
| 2560 |
+
{
|
| 2561 |
+
"epoch": 30.43,
|
| 2562 |
+
"learning_rate": 0.010793650793650793,
|
| 2563 |
+
"loss": 0.0012,
|
| 2564 |
+
"step": 4260
|
| 2565 |
+
},
|
| 2566 |
+
{
|
| 2567 |
+
"epoch": 30.5,
|
| 2568 |
+
"learning_rate": 0.01074074074074074,
|
| 2569 |
+
"loss": 0.0013,
|
| 2570 |
+
"step": 4270
|
| 2571 |
+
},
|
| 2572 |
+
{
|
| 2573 |
+
"epoch": 30.57,
|
| 2574 |
+
"learning_rate": 0.010687830687830687,
|
| 2575 |
+
"loss": 0.0012,
|
| 2576 |
+
"step": 4280
|
| 2577 |
+
},
|
| 2578 |
+
{
|
| 2579 |
+
"epoch": 30.64,
|
| 2580 |
+
"learning_rate": 0.010634920634920634,
|
| 2581 |
+
"loss": 0.0013,
|
| 2582 |
+
"step": 4290
|
| 2583 |
+
},
|
| 2584 |
+
{
|
| 2585 |
+
"epoch": 30.71,
|
| 2586 |
+
"learning_rate": 0.010582010582010581,
|
| 2587 |
+
"loss": 0.0012,
|
| 2588 |
+
"step": 4300
|
| 2589 |
+
},
|
| 2590 |
+
{
|
| 2591 |
+
"epoch": 30.79,
|
| 2592 |
+
"learning_rate": 0.010529100529100529,
|
| 2593 |
+
"loss": 0.0012,
|
| 2594 |
+
"step": 4310
|
| 2595 |
+
},
|
| 2596 |
+
{
|
| 2597 |
+
"epoch": 30.86,
|
| 2598 |
+
"learning_rate": 0.010476190476190476,
|
| 2599 |
+
"loss": 0.0012,
|
| 2600 |
+
"step": 4320
|
| 2601 |
+
},
|
| 2602 |
+
{
|
| 2603 |
+
"epoch": 30.93,
|
| 2604 |
+
"learning_rate": 0.010423280423280423,
|
| 2605 |
+
"loss": 0.0012,
|
| 2606 |
+
"step": 4330
|
| 2607 |
+
},
|
| 2608 |
+
{
|
| 2609 |
+
"epoch": 31.0,
|
| 2610 |
+
"learning_rate": 0.01037037037037037,
|
| 2611 |
+
"loss": 0.0013,
|
| 2612 |
+
"step": 4340
|
| 2613 |
+
},
|
| 2614 |
+
{
|
| 2615 |
+
"epoch": 31.07,
|
| 2616 |
+
"learning_rate": 0.010317460317460317,
|
| 2617 |
+
"loss": 0.0012,
|
| 2618 |
+
"step": 4350
|
| 2619 |
+
},
|
| 2620 |
+
{
|
| 2621 |
+
"epoch": 31.14,
|
| 2622 |
+
"learning_rate": 0.010264550264550264,
|
| 2623 |
+
"loss": 0.0011,
|
| 2624 |
+
"step": 4360
|
| 2625 |
+
},
|
| 2626 |
+
{
|
| 2627 |
+
"epoch": 31.21,
|
| 2628 |
+
"learning_rate": 0.010211640211640212,
|
| 2629 |
+
"loss": 0.0012,
|
| 2630 |
+
"step": 4370
|
| 2631 |
+
},
|
| 2632 |
+
{
|
| 2633 |
+
"epoch": 31.29,
|
| 2634 |
+
"learning_rate": 0.010158730158730157,
|
| 2635 |
+
"loss": 0.0013,
|
| 2636 |
+
"step": 4380
|
| 2637 |
+
},
|
| 2638 |
+
{
|
| 2639 |
+
"epoch": 31.36,
|
| 2640 |
+
"learning_rate": 0.010105820105820104,
|
| 2641 |
+
"loss": 0.0011,
|
| 2642 |
+
"step": 4390
|
| 2643 |
+
},
|
| 2644 |
+
{
|
| 2645 |
+
"epoch": 31.43,
|
| 2646 |
+
"learning_rate": 0.010052910052910051,
|
| 2647 |
+
"loss": 0.0012,
|
| 2648 |
+
"step": 4400
|
| 2649 |
+
},
|
| 2650 |
+
{
|
| 2651 |
+
"epoch": 31.5,
|
| 2652 |
+
"learning_rate": 0.009999999999999998,
|
| 2653 |
+
"loss": 0.0013,
|
| 2654 |
+
"step": 4410
|
| 2655 |
+
},
|
| 2656 |
+
{
|
| 2657 |
+
"epoch": 31.57,
|
| 2658 |
+
"learning_rate": 0.009947089947089946,
|
| 2659 |
+
"loss": 0.0012,
|
| 2660 |
+
"step": 4420
|
| 2661 |
+
},
|
| 2662 |
+
{
|
| 2663 |
+
"epoch": 31.64,
|
| 2664 |
+
"learning_rate": 0.009894179894179893,
|
| 2665 |
+
"loss": 0.0013,
|
| 2666 |
+
"step": 4430
|
| 2667 |
+
},
|
| 2668 |
+
{
|
| 2669 |
+
"epoch": 31.71,
|
| 2670 |
+
"learning_rate": 0.00984126984126984,
|
| 2671 |
+
"loss": 0.0012,
|
| 2672 |
+
"step": 4440
|
| 2673 |
+
},
|
| 2674 |
+
{
|
| 2675 |
+
"epoch": 31.79,
|
| 2676 |
+
"learning_rate": 0.009788359788359787,
|
| 2677 |
+
"loss": 0.0012,
|
| 2678 |
+
"step": 4450
|
| 2679 |
+
},
|
| 2680 |
+
{
|
| 2681 |
+
"epoch": 31.86,
|
| 2682 |
+
"learning_rate": 0.009735449735449734,
|
| 2683 |
+
"loss": 0.0012,
|
| 2684 |
+
"step": 4460
|
| 2685 |
+
},
|
| 2686 |
+
{
|
| 2687 |
+
"epoch": 31.93,
|
| 2688 |
+
"learning_rate": 0.009682539682539681,
|
| 2689 |
+
"loss": 0.0013,
|
| 2690 |
+
"step": 4470
|
| 2691 |
+
},
|
| 2692 |
+
{
|
| 2693 |
+
"epoch": 32.0,
|
| 2694 |
+
"learning_rate": 0.009629629629629629,
|
| 2695 |
+
"loss": 0.0011,
|
| 2696 |
+
"step": 4480
|
| 2697 |
+
},
|
| 2698 |
+
{
|
| 2699 |
+
"epoch": 32.07,
|
| 2700 |
+
"learning_rate": 0.009576719576719576,
|
| 2701 |
+
"loss": 0.0012,
|
| 2702 |
+
"step": 4490
|
| 2703 |
+
},
|
| 2704 |
+
{
|
| 2705 |
+
"epoch": 32.14,
|
| 2706 |
+
"learning_rate": 0.009523809523809523,
|
| 2707 |
+
"loss": 0.0013,
|
| 2708 |
+
"step": 4500
|
| 2709 |
+
},
|
| 2710 |
+
{
|
| 2711 |
+
"epoch": 32.21,
|
| 2712 |
+
"learning_rate": 0.00947089947089947,
|
| 2713 |
+
"loss": 0.0012,
|
| 2714 |
+
"step": 4510
|
| 2715 |
+
},
|
| 2716 |
+
{
|
| 2717 |
+
"epoch": 32.29,
|
| 2718 |
+
"learning_rate": 0.009417989417989417,
|
| 2719 |
+
"loss": 0.0012,
|
| 2720 |
+
"step": 4520
|
| 2721 |
+
},
|
| 2722 |
+
{
|
| 2723 |
+
"epoch": 32.36,
|
| 2724 |
+
"learning_rate": 0.009365079365079364,
|
| 2725 |
+
"loss": 0.0013,
|
| 2726 |
+
"step": 4530
|
| 2727 |
+
},
|
| 2728 |
+
{
|
| 2729 |
+
"epoch": 32.43,
|
| 2730 |
+
"learning_rate": 0.009312169312169312,
|
| 2731 |
+
"loss": 0.0013,
|
| 2732 |
+
"step": 4540
|
| 2733 |
+
},
|
| 2734 |
+
{
|
| 2735 |
+
"epoch": 32.5,
|
| 2736 |
+
"learning_rate": 0.009259259259259259,
|
| 2737 |
+
"loss": 0.0012,
|
| 2738 |
+
"step": 4550
|
| 2739 |
+
},
|
| 2740 |
+
{
|
| 2741 |
+
"epoch": 32.57,
|
| 2742 |
+
"learning_rate": 0.009206349206349206,
|
| 2743 |
+
"loss": 0.0011,
|
| 2744 |
+
"step": 4560
|
| 2745 |
+
},
|
| 2746 |
+
{
|
| 2747 |
+
"epoch": 32.64,
|
| 2748 |
+
"learning_rate": 0.009153439153439153,
|
| 2749 |
+
"loss": 0.0012,
|
| 2750 |
+
"step": 4570
|
| 2751 |
+
},
|
| 2752 |
+
{
|
| 2753 |
+
"epoch": 32.71,
|
| 2754 |
+
"learning_rate": 0.0091005291005291,
|
| 2755 |
+
"loss": 0.0012,
|
| 2756 |
+
"step": 4580
|
| 2757 |
+
},
|
| 2758 |
+
{
|
| 2759 |
+
"epoch": 32.79,
|
| 2760 |
+
"learning_rate": 0.009047619047619047,
|
| 2761 |
+
"loss": 0.0013,
|
| 2762 |
+
"step": 4590
|
| 2763 |
+
},
|
| 2764 |
+
{
|
| 2765 |
+
"epoch": 32.86,
|
| 2766 |
+
"learning_rate": 0.008994708994708995,
|
| 2767 |
+
"loss": 0.0012,
|
| 2768 |
+
"step": 4600
|
| 2769 |
+
},
|
| 2770 |
+
{
|
| 2771 |
+
"epoch": 32.93,
|
| 2772 |
+
"learning_rate": 0.008941798941798942,
|
| 2773 |
+
"loss": 0.0014,
|
| 2774 |
+
"step": 4610
|
| 2775 |
+
},
|
| 2776 |
+
{
|
| 2777 |
+
"epoch": 33.0,
|
| 2778 |
+
"learning_rate": 0.008888888888888889,
|
| 2779 |
+
"loss": 0.0012,
|
| 2780 |
+
"step": 4620
|
| 2781 |
+
},
|
| 2782 |
+
{
|
| 2783 |
+
"epoch": 33.07,
|
| 2784 |
+
"learning_rate": 0.008835978835978834,
|
| 2785 |
+
"loss": 0.0012,
|
| 2786 |
+
"step": 4630
|
| 2787 |
+
},
|
| 2788 |
+
{
|
| 2789 |
+
"epoch": 33.14,
|
| 2790 |
+
"learning_rate": 0.008783068783068781,
|
| 2791 |
+
"loss": 0.0013,
|
| 2792 |
+
"step": 4640
|
| 2793 |
+
},
|
| 2794 |
+
{
|
| 2795 |
+
"epoch": 33.21,
|
| 2796 |
+
"learning_rate": 0.008730158730158729,
|
| 2797 |
+
"loss": 0.0012,
|
| 2798 |
+
"step": 4650
|
| 2799 |
+
},
|
| 2800 |
+
{
|
| 2801 |
+
"epoch": 33.29,
|
| 2802 |
+
"learning_rate": 0.008677248677248676,
|
| 2803 |
+
"loss": 0.0012,
|
| 2804 |
+
"step": 4660
|
| 2805 |
+
},
|
| 2806 |
+
{
|
| 2807 |
+
"epoch": 33.36,
|
| 2808 |
+
"learning_rate": 0.008624338624338623,
|
| 2809 |
+
"loss": 0.0012,
|
| 2810 |
+
"step": 4670
|
| 2811 |
+
},
|
| 2812 |
+
{
|
| 2813 |
+
"epoch": 33.43,
|
| 2814 |
+
"learning_rate": 0.00857142857142857,
|
| 2815 |
+
"loss": 0.0012,
|
| 2816 |
+
"step": 4680
|
| 2817 |
+
},
|
| 2818 |
+
{
|
| 2819 |
+
"epoch": 33.5,
|
| 2820 |
+
"learning_rate": 0.008518518518518517,
|
| 2821 |
+
"loss": 0.0012,
|
| 2822 |
+
"step": 4690
|
| 2823 |
+
},
|
| 2824 |
+
{
|
| 2825 |
+
"epoch": 33.57,
|
| 2826 |
+
"learning_rate": 0.008465608465608464,
|
| 2827 |
+
"loss": 0.0012,
|
| 2828 |
+
"step": 4700
|
| 2829 |
+
},
|
| 2830 |
+
{
|
| 2831 |
+
"epoch": 33.64,
|
| 2832 |
+
"learning_rate": 0.008412698412698412,
|
| 2833 |
+
"loss": 0.0012,
|
| 2834 |
+
"step": 4710
|
| 2835 |
+
},
|
| 2836 |
+
{
|
| 2837 |
+
"epoch": 33.71,
|
| 2838 |
+
"learning_rate": 0.008359788359788359,
|
| 2839 |
+
"loss": 0.0012,
|
| 2840 |
+
"step": 4720
|
| 2841 |
+
},
|
| 2842 |
+
{
|
| 2843 |
+
"epoch": 33.79,
|
| 2844 |
+
"learning_rate": 0.008306878306878306,
|
| 2845 |
+
"loss": 0.0012,
|
| 2846 |
+
"step": 4730
|
| 2847 |
+
},
|
| 2848 |
+
{
|
| 2849 |
+
"epoch": 33.86,
|
| 2850 |
+
"learning_rate": 0.008253968253968253,
|
| 2851 |
+
"loss": 0.0012,
|
| 2852 |
+
"step": 4740
|
| 2853 |
+
},
|
| 2854 |
+
{
|
| 2855 |
+
"epoch": 33.93,
|
| 2856 |
+
"learning_rate": 0.0082010582010582,
|
| 2857 |
+
"loss": 0.0012,
|
| 2858 |
+
"step": 4750
|
| 2859 |
+
},
|
| 2860 |
+
{
|
| 2861 |
+
"epoch": 34.0,
|
| 2862 |
+
"learning_rate": 0.008148148148148147,
|
| 2863 |
+
"loss": 0.0012,
|
| 2864 |
+
"step": 4760
|
| 2865 |
+
},
|
| 2866 |
+
{
|
| 2867 |
+
"epoch": 34.07,
|
| 2868 |
+
"learning_rate": 0.008095238095238095,
|
| 2869 |
+
"loss": 0.0011,
|
| 2870 |
+
"step": 4770
|
| 2871 |
+
},
|
| 2872 |
+
{
|
| 2873 |
+
"epoch": 34.14,
|
| 2874 |
+
"learning_rate": 0.008042328042328042,
|
| 2875 |
+
"loss": 0.0013,
|
| 2876 |
+
"step": 4780
|
| 2877 |
+
},
|
| 2878 |
+
{
|
| 2879 |
+
"epoch": 34.21,
|
| 2880 |
+
"learning_rate": 0.007989417989417989,
|
| 2881 |
+
"loss": 0.0011,
|
| 2882 |
+
"step": 4790
|
| 2883 |
+
},
|
| 2884 |
+
{
|
| 2885 |
+
"epoch": 34.29,
|
| 2886 |
+
"learning_rate": 0.007936507936507936,
|
| 2887 |
+
"loss": 0.0011,
|
| 2888 |
+
"step": 4800
|
| 2889 |
+
},
|
| 2890 |
+
{
|
| 2891 |
+
"epoch": 34.36,
|
| 2892 |
+
"learning_rate": 0.007883597883597883,
|
| 2893 |
+
"loss": 0.0012,
|
| 2894 |
+
"step": 4810
|
| 2895 |
+
},
|
| 2896 |
+
{
|
| 2897 |
+
"epoch": 34.43,
|
| 2898 |
+
"learning_rate": 0.00783068783068783,
|
| 2899 |
+
"loss": 0.0012,
|
| 2900 |
+
"step": 4820
|
| 2901 |
+
},
|
| 2902 |
+
{
|
| 2903 |
+
"epoch": 34.5,
|
| 2904 |
+
"learning_rate": 0.007777777777777777,
|
| 2905 |
+
"loss": 0.0011,
|
| 2906 |
+
"step": 4830
|
| 2907 |
+
},
|
| 2908 |
+
{
|
| 2909 |
+
"epoch": 34.57,
|
| 2910 |
+
"learning_rate": 0.007724867724867724,
|
| 2911 |
+
"loss": 0.0011,
|
| 2912 |
+
"step": 4840
|
| 2913 |
+
},
|
| 2914 |
+
{
|
| 2915 |
+
"epoch": 34.64,
|
| 2916 |
+
"learning_rate": 0.007671957671957671,
|
| 2917 |
+
"loss": 0.0011,
|
| 2918 |
+
"step": 4850
|
| 2919 |
+
},
|
| 2920 |
+
{
|
| 2921 |
+
"epoch": 34.71,
|
| 2922 |
+
"learning_rate": 0.007619047619047618,
|
| 2923 |
+
"loss": 0.0012,
|
| 2924 |
+
"step": 4860
|
| 2925 |
+
},
|
| 2926 |
+
{
|
| 2927 |
+
"epoch": 34.79,
|
| 2928 |
+
"learning_rate": 0.007566137566137565,
|
| 2929 |
+
"loss": 0.0012,
|
| 2930 |
+
"step": 4870
|
| 2931 |
+
},
|
| 2932 |
+
{
|
| 2933 |
+
"epoch": 34.86,
|
| 2934 |
+
"learning_rate": 0.0075132275132275125,
|
| 2935 |
+
"loss": 0.0012,
|
| 2936 |
+
"step": 4880
|
| 2937 |
+
},
|
| 2938 |
+
{
|
| 2939 |
+
"epoch": 34.93,
|
| 2940 |
+
"learning_rate": 0.00746031746031746,
|
| 2941 |
+
"loss": 0.0011,
|
| 2942 |
+
"step": 4890
|
| 2943 |
+
},
|
| 2944 |
+
{
|
| 2945 |
+
"epoch": 35.0,
|
| 2946 |
+
"learning_rate": 0.007407407407407407,
|
| 2947 |
+
"loss": 0.0012,
|
| 2948 |
+
"step": 4900
|
| 2949 |
+
},
|
| 2950 |
+
{
|
| 2951 |
+
"epoch": 35.07,
|
| 2952 |
+
"learning_rate": 0.007354497354497354,
|
| 2953 |
+
"loss": 0.0012,
|
| 2954 |
+
"step": 4910
|
| 2955 |
+
},
|
| 2956 |
+
{
|
| 2957 |
+
"epoch": 35.14,
|
| 2958 |
+
"learning_rate": 0.007301587301587301,
|
| 2959 |
+
"loss": 0.0012,
|
| 2960 |
+
"step": 4920
|
| 2961 |
+
},
|
| 2962 |
+
{
|
| 2963 |
+
"epoch": 35.21,
|
| 2964 |
+
"learning_rate": 0.007248677248677248,
|
| 2965 |
+
"loss": 0.0012,
|
| 2966 |
+
"step": 4930
|
| 2967 |
+
},
|
| 2968 |
+
{
|
| 2969 |
+
"epoch": 35.29,
|
| 2970 |
+
"learning_rate": 0.0071957671957671955,
|
| 2971 |
+
"loss": 0.0011,
|
| 2972 |
+
"step": 4940
|
| 2973 |
+
},
|
| 2974 |
+
{
|
| 2975 |
+
"epoch": 35.36,
|
| 2976 |
+
"learning_rate": 0.007142857142857142,
|
| 2977 |
+
"loss": 0.0012,
|
| 2978 |
+
"step": 4950
|
| 2979 |
+
},
|
| 2980 |
+
{
|
| 2981 |
+
"epoch": 35.43,
|
| 2982 |
+
"learning_rate": 0.007089947089947089,
|
| 2983 |
+
"loss": 0.0012,
|
| 2984 |
+
"step": 4960
|
| 2985 |
+
},
|
| 2986 |
+
{
|
| 2987 |
+
"epoch": 35.5,
|
| 2988 |
+
"learning_rate": 0.007037037037037036,
|
| 2989 |
+
"loss": 0.0013,
|
| 2990 |
+
"step": 4970
|
| 2991 |
+
},
|
| 2992 |
+
{
|
| 2993 |
+
"epoch": 35.57,
|
| 2994 |
+
"learning_rate": 0.006984126984126983,
|
| 2995 |
+
"loss": 0.0012,
|
| 2996 |
+
"step": 4980
|
| 2997 |
+
},
|
| 2998 |
+
{
|
| 2999 |
+
"epoch": 35.64,
|
| 3000 |
+
"learning_rate": 0.00693121693121693,
|
| 3001 |
+
"loss": 0.0012,
|
| 3002 |
+
"step": 4990
|
| 3003 |
+
},
|
| 3004 |
+
{
|
| 3005 |
+
"epoch": 35.71,
|
| 3006 |
+
"learning_rate": 0.006878306878306878,
|
| 3007 |
+
"loss": 0.0011,
|
| 3008 |
+
"step": 5000
|
| 3009 |
+
},
|
| 3010 |
+
{
|
| 3011 |
+
"epoch": 35.79,
|
| 3012 |
+
"learning_rate": 0.006825396825396825,
|
| 3013 |
+
"loss": 0.0012,
|
| 3014 |
+
"step": 5010
|
| 3015 |
+
},
|
| 3016 |
+
{
|
| 3017 |
+
"epoch": 35.86,
|
| 3018 |
+
"learning_rate": 0.006772486772486772,
|
| 3019 |
+
"loss": 0.0012,
|
| 3020 |
+
"step": 5020
|
| 3021 |
+
},
|
| 3022 |
+
{
|
| 3023 |
+
"epoch": 35.93,
|
| 3024 |
+
"learning_rate": 0.006719576719576719,
|
| 3025 |
+
"loss": 0.0012,
|
| 3026 |
+
"step": 5030
|
| 3027 |
+
},
|
| 3028 |
+
{
|
| 3029 |
+
"epoch": 36.0,
|
| 3030 |
+
"learning_rate": 0.006666666666666666,
|
| 3031 |
+
"loss": 0.0011,
|
| 3032 |
+
"step": 5040
|
| 3033 |
+
},
|
| 3034 |
+
{
|
| 3035 |
+
"epoch": 36.07,
|
| 3036 |
+
"learning_rate": 0.006613756613756613,
|
| 3037 |
+
"loss": 0.0012,
|
| 3038 |
+
"step": 5050
|
| 3039 |
+
},
|
| 3040 |
+
{
|
| 3041 |
+
"epoch": 36.14,
|
| 3042 |
+
"learning_rate": 0.0065608465608465606,
|
| 3043 |
+
"loss": 0.0011,
|
| 3044 |
+
"step": 5060
|
| 3045 |
+
},
|
| 3046 |
+
{
|
| 3047 |
+
"epoch": 36.21,
|
| 3048 |
+
"learning_rate": 0.006507936507936508,
|
| 3049 |
+
"loss": 0.0012,
|
| 3050 |
+
"step": 5070
|
| 3051 |
+
},
|
| 3052 |
+
{
|
| 3053 |
+
"epoch": 36.29,
|
| 3054 |
+
"learning_rate": 0.006455026455026454,
|
| 3055 |
+
"loss": 0.0013,
|
| 3056 |
+
"step": 5080
|
| 3057 |
+
},
|
| 3058 |
+
{
|
| 3059 |
+
"epoch": 36.36,
|
| 3060 |
+
"learning_rate": 0.006402116402116401,
|
| 3061 |
+
"loss": 0.0011,
|
| 3062 |
+
"step": 5090
|
| 3063 |
+
},
|
| 3064 |
+
{
|
| 3065 |
+
"epoch": 36.43,
|
| 3066 |
+
"learning_rate": 0.006349206349206348,
|
| 3067 |
+
"loss": 0.0012,
|
| 3068 |
+
"step": 5100
|
| 3069 |
+
},
|
| 3070 |
+
{
|
| 3071 |
+
"epoch": 36.5,
|
| 3072 |
+
"learning_rate": 0.0062962962962962955,
|
| 3073 |
+
"loss": 0.0011,
|
| 3074 |
+
"step": 5110
|
| 3075 |
+
},
|
| 3076 |
+
{
|
| 3077 |
+
"epoch": 36.57,
|
| 3078 |
+
"learning_rate": 0.006243386243386243,
|
| 3079 |
+
"loss": 0.0012,
|
| 3080 |
+
"step": 5120
|
| 3081 |
+
},
|
| 3082 |
+
{
|
| 3083 |
+
"epoch": 36.64,
|
| 3084 |
+
"learning_rate": 0.00619047619047619,
|
| 3085 |
+
"loss": 0.0011,
|
| 3086 |
+
"step": 5130
|
| 3087 |
+
},
|
| 3088 |
+
{
|
| 3089 |
+
"epoch": 36.71,
|
| 3090 |
+
"learning_rate": 0.006137566137566137,
|
| 3091 |
+
"loss": 0.0011,
|
| 3092 |
+
"step": 5140
|
| 3093 |
+
},
|
| 3094 |
+
{
|
| 3095 |
+
"epoch": 36.79,
|
| 3096 |
+
"learning_rate": 0.006084656084656084,
|
| 3097 |
+
"loss": 0.0011,
|
| 3098 |
+
"step": 5150
|
| 3099 |
+
},
|
| 3100 |
+
{
|
| 3101 |
+
"epoch": 36.86,
|
| 3102 |
+
"learning_rate": 0.006031746031746031,
|
| 3103 |
+
"loss": 0.0011,
|
| 3104 |
+
"step": 5160
|
| 3105 |
+
},
|
| 3106 |
+
{
|
| 3107 |
+
"epoch": 36.93,
|
| 3108 |
+
"learning_rate": 0.0059788359788359785,
|
| 3109 |
+
"loss": 0.0012,
|
| 3110 |
+
"step": 5170
|
| 3111 |
+
},
|
| 3112 |
+
{
|
| 3113 |
+
"epoch": 37.0,
|
| 3114 |
+
"learning_rate": 0.005925925925925926,
|
| 3115 |
+
"loss": 0.0011,
|
| 3116 |
+
"step": 5180
|
| 3117 |
+
},
|
| 3118 |
+
{
|
| 3119 |
+
"epoch": 37.07,
|
| 3120 |
+
"learning_rate": 0.005873015873015873,
|
| 3121 |
+
"loss": 0.0012,
|
| 3122 |
+
"step": 5190
|
| 3123 |
+
},
|
| 3124 |
+
{
|
| 3125 |
+
"epoch": 37.14,
|
| 3126 |
+
"learning_rate": 0.00582010582010582,
|
| 3127 |
+
"loss": 0.0012,
|
| 3128 |
+
"step": 5200
|
| 3129 |
+
},
|
| 3130 |
+
{
|
| 3131 |
+
"epoch": 37.21,
|
| 3132 |
+
"learning_rate": 0.005767195767195766,
|
| 3133 |
+
"loss": 0.0011,
|
| 3134 |
+
"step": 5210
|
| 3135 |
+
},
|
| 3136 |
+
{
|
| 3137 |
+
"epoch": 37.29,
|
| 3138 |
+
"learning_rate": 0.005714285714285713,
|
| 3139 |
+
"loss": 0.0011,
|
| 3140 |
+
"step": 5220
|
| 3141 |
+
},
|
| 3142 |
+
{
|
| 3143 |
+
"epoch": 37.36,
|
| 3144 |
+
"learning_rate": 0.005661375661375661,
|
| 3145 |
+
"loss": 0.0012,
|
| 3146 |
+
"step": 5230
|
| 3147 |
+
},
|
| 3148 |
+
{
|
| 3149 |
+
"epoch": 37.43,
|
| 3150 |
+
"learning_rate": 0.005608465608465608,
|
| 3151 |
+
"loss": 0.0012,
|
| 3152 |
+
"step": 5240
|
| 3153 |
+
},
|
| 3154 |
+
{
|
| 3155 |
+
"epoch": 37.5,
|
| 3156 |
+
"learning_rate": 0.005555555555555555,
|
| 3157 |
+
"loss": 0.0012,
|
| 3158 |
+
"step": 5250
|
| 3159 |
+
},
|
| 3160 |
+
{
|
| 3161 |
+
"epoch": 37.57,
|
| 3162 |
+
"learning_rate": 0.005502645502645502,
|
| 3163 |
+
"loss": 0.0011,
|
| 3164 |
+
"step": 5260
|
| 3165 |
+
},
|
| 3166 |
+
{
|
| 3167 |
+
"epoch": 37.64,
|
| 3168 |
+
"learning_rate": 0.005449735449735449,
|
| 3169 |
+
"loss": 0.0012,
|
| 3170 |
+
"step": 5270
|
| 3171 |
+
},
|
| 3172 |
+
{
|
| 3173 |
+
"epoch": 37.71,
|
| 3174 |
+
"learning_rate": 0.005396825396825396,
|
| 3175 |
+
"loss": 0.0011,
|
| 3176 |
+
"step": 5280
|
| 3177 |
+
},
|
| 3178 |
+
{
|
| 3179 |
+
"epoch": 37.79,
|
| 3180 |
+
"learning_rate": 0.0053439153439153435,
|
| 3181 |
+
"loss": 0.0012,
|
| 3182 |
+
"step": 5290
|
| 3183 |
+
},
|
| 3184 |
+
{
|
| 3185 |
+
"epoch": 37.86,
|
| 3186 |
+
"learning_rate": 0.005291005291005291,
|
| 3187 |
+
"loss": 0.0011,
|
| 3188 |
+
"step": 5300
|
| 3189 |
+
},
|
| 3190 |
+
{
|
| 3191 |
+
"epoch": 37.93,
|
| 3192 |
+
"learning_rate": 0.005238095238095238,
|
| 3193 |
+
"loss": 0.0012,
|
| 3194 |
+
"step": 5310
|
| 3195 |
+
},
|
| 3196 |
+
{
|
| 3197 |
+
"epoch": 38.0,
|
| 3198 |
+
"learning_rate": 0.005185185185185185,
|
| 3199 |
+
"loss": 0.0012,
|
| 3200 |
+
"step": 5320
|
| 3201 |
+
},
|
| 3202 |
+
{
|
| 3203 |
+
"epoch": 38.07,
|
| 3204 |
+
"learning_rate": 0.005132275132275132,
|
| 3205 |
+
"loss": 0.0013,
|
| 3206 |
+
"step": 5330
|
| 3207 |
+
},
|
| 3208 |
+
{
|
| 3209 |
+
"epoch": 38.14,
|
| 3210 |
+
"learning_rate": 0.0050793650793650785,
|
| 3211 |
+
"loss": 0.0011,
|
| 3212 |
+
"step": 5340
|
| 3213 |
+
},
|
| 3214 |
+
{
|
| 3215 |
+
"epoch": 38.21,
|
| 3216 |
+
"learning_rate": 0.005026455026455026,
|
| 3217 |
+
"loss": 0.0012,
|
| 3218 |
+
"step": 5350
|
| 3219 |
+
},
|
| 3220 |
+
{
|
| 3221 |
+
"epoch": 38.29,
|
| 3222 |
+
"learning_rate": 0.004973544973544973,
|
| 3223 |
+
"loss": 0.0012,
|
| 3224 |
+
"step": 5360
|
| 3225 |
+
},
|
| 3226 |
+
{
|
| 3227 |
+
"epoch": 38.36,
|
| 3228 |
+
"learning_rate": 0.00492063492063492,
|
| 3229 |
+
"loss": 0.0011,
|
| 3230 |
+
"step": 5370
|
| 3231 |
+
},
|
| 3232 |
+
{
|
| 3233 |
+
"epoch": 38.43,
|
| 3234 |
+
"learning_rate": 0.004867724867724867,
|
| 3235 |
+
"loss": 0.0011,
|
| 3236 |
+
"step": 5380
|
| 3237 |
+
},
|
| 3238 |
+
{
|
| 3239 |
+
"epoch": 38.5,
|
| 3240 |
+
"learning_rate": 0.004814814814814814,
|
| 3241 |
+
"loss": 0.0011,
|
| 3242 |
+
"step": 5390
|
| 3243 |
+
},
|
| 3244 |
+
{
|
| 3245 |
+
"epoch": 38.57,
|
| 3246 |
+
"learning_rate": 0.0047619047619047615,
|
| 3247 |
+
"loss": 0.0012,
|
| 3248 |
+
"step": 5400
|
| 3249 |
+
},
|
| 3250 |
+
{
|
| 3251 |
+
"epoch": 38.64,
|
| 3252 |
+
"learning_rate": 0.004708994708994709,
|
| 3253 |
+
"loss": 0.0011,
|
| 3254 |
+
"step": 5410
|
| 3255 |
+
},
|
| 3256 |
+
{
|
| 3257 |
+
"epoch": 38.71,
|
| 3258 |
+
"learning_rate": 0.004656084656084656,
|
| 3259 |
+
"loss": 0.0011,
|
| 3260 |
+
"step": 5420
|
| 3261 |
+
},
|
| 3262 |
+
{
|
| 3263 |
+
"epoch": 38.79,
|
| 3264 |
+
"learning_rate": 0.004603174603174603,
|
| 3265 |
+
"loss": 0.0011,
|
| 3266 |
+
"step": 5430
|
| 3267 |
+
},
|
| 3268 |
+
{
|
| 3269 |
+
"epoch": 38.86,
|
| 3270 |
+
"learning_rate": 0.00455026455026455,
|
| 3271 |
+
"loss": 0.0011,
|
| 3272 |
+
"step": 5440
|
| 3273 |
+
},
|
| 3274 |
+
{
|
| 3275 |
+
"epoch": 38.93,
|
| 3276 |
+
"learning_rate": 0.004497354497354497,
|
| 3277 |
+
"loss": 0.0011,
|
| 3278 |
+
"step": 5450
|
| 3279 |
+
},
|
| 3280 |
+
{
|
| 3281 |
+
"epoch": 39.0,
|
| 3282 |
+
"learning_rate": 0.0044444444444444444,
|
| 3283 |
+
"loss": 0.0012,
|
| 3284 |
+
"step": 5460
|
| 3285 |
+
},
|
| 3286 |
+
{
|
| 3287 |
+
"epoch": 39.07,
|
| 3288 |
+
"learning_rate": 0.004391534391534391,
|
| 3289 |
+
"loss": 0.0011,
|
| 3290 |
+
"step": 5470
|
| 3291 |
+
},
|
| 3292 |
+
{
|
| 3293 |
+
"epoch": 39.14,
|
| 3294 |
+
"learning_rate": 0.004338624338624338,
|
| 3295 |
+
"loss": 0.0012,
|
| 3296 |
+
"step": 5480
|
| 3297 |
+
},
|
| 3298 |
+
{
|
| 3299 |
+
"epoch": 39.21,
|
| 3300 |
+
"learning_rate": 0.004285714285714285,
|
| 3301 |
+
"loss": 0.0011,
|
| 3302 |
+
"step": 5490
|
| 3303 |
+
},
|
| 3304 |
+
{
|
| 3305 |
+
"epoch": 39.29,
|
| 3306 |
+
"learning_rate": 0.004232804232804232,
|
| 3307 |
+
"loss": 0.0012,
|
| 3308 |
+
"step": 5500
|
| 3309 |
+
},
|
| 3310 |
+
{
|
| 3311 |
+
"epoch": 39.36,
|
| 3312 |
+
"learning_rate": 0.004179894179894179,
|
| 3313 |
+
"loss": 0.0011,
|
| 3314 |
+
"step": 5510
|
| 3315 |
+
},
|
| 3316 |
+
{
|
| 3317 |
+
"epoch": 39.43,
|
| 3318 |
+
"learning_rate": 0.0041269841269841265,
|
| 3319 |
+
"loss": 0.0011,
|
| 3320 |
+
"step": 5520
|
| 3321 |
+
},
|
| 3322 |
+
{
|
| 3323 |
+
"epoch": 39.5,
|
| 3324 |
+
"learning_rate": 0.004074074074074074,
|
| 3325 |
+
"loss": 0.0011,
|
| 3326 |
+
"step": 5530
|
| 3327 |
+
},
|
| 3328 |
+
{
|
| 3329 |
+
"epoch": 39.57,
|
| 3330 |
+
"learning_rate": 0.004021164021164021,
|
| 3331 |
+
"loss": 0.0012,
|
| 3332 |
+
"step": 5540
|
| 3333 |
+
},
|
| 3334 |
+
{
|
| 3335 |
+
"epoch": 39.64,
|
| 3336 |
+
"learning_rate": 0.003968253968253968,
|
| 3337 |
+
"loss": 0.0011,
|
| 3338 |
+
"step": 5550
|
| 3339 |
+
},
|
| 3340 |
+
{
|
| 3341 |
+
"epoch": 39.71,
|
| 3342 |
+
"learning_rate": 0.003915343915343915,
|
| 3343 |
+
"loss": 0.0012,
|
| 3344 |
+
"step": 5560
|
| 3345 |
+
},
|
| 3346 |
+
{
|
| 3347 |
+
"epoch": 39.79,
|
| 3348 |
+
"learning_rate": 0.003862433862433862,
|
| 3349 |
+
"loss": 0.0012,
|
| 3350 |
+
"step": 5570
|
| 3351 |
+
},
|
| 3352 |
+
{
|
| 3353 |
+
"epoch": 39.86,
|
| 3354 |
+
"learning_rate": 0.003809523809523809,
|
| 3355 |
+
"loss": 0.0012,
|
| 3356 |
+
"step": 5580
|
| 3357 |
+
},
|
| 3358 |
+
{
|
| 3359 |
+
"epoch": 39.93,
|
| 3360 |
+
"learning_rate": 0.0037566137566137562,
|
| 3361 |
+
"loss": 0.0012,
|
| 3362 |
+
"step": 5590
|
| 3363 |
+
},
|
| 3364 |
+
{
|
| 3365 |
+
"epoch": 40.0,
|
| 3366 |
+
"learning_rate": 0.0037037037037037034,
|
| 3367 |
+
"loss": 0.0013,
|
| 3368 |
+
"step": 5600
|
| 3369 |
+
},
|
| 3370 |
+
{
|
| 3371 |
+
"epoch": 40.07,
|
| 3372 |
+
"learning_rate": 0.0036507936507936506,
|
| 3373 |
+
"loss": 0.0012,
|
| 3374 |
+
"step": 5610
|
| 3375 |
+
},
|
| 3376 |
+
{
|
| 3377 |
+
"epoch": 40.14,
|
| 3378 |
+
"learning_rate": 0.0035978835978835977,
|
| 3379 |
+
"loss": 0.0011,
|
| 3380 |
+
"step": 5620
|
| 3381 |
+
},
|
| 3382 |
+
{
|
| 3383 |
+
"epoch": 40.21,
|
| 3384 |
+
"learning_rate": 0.0035449735449735445,
|
| 3385 |
+
"loss": 0.0012,
|
| 3386 |
+
"step": 5630
|
| 3387 |
+
},
|
| 3388 |
+
{
|
| 3389 |
+
"epoch": 40.29,
|
| 3390 |
+
"learning_rate": 0.0034920634920634916,
|
| 3391 |
+
"loss": 0.0013,
|
| 3392 |
+
"step": 5640
|
| 3393 |
+
},
|
| 3394 |
+
{
|
| 3395 |
+
"epoch": 40.36,
|
| 3396 |
+
"learning_rate": 0.003439153439153439,
|
| 3397 |
+
"loss": 0.0012,
|
| 3398 |
+
"step": 5650
|
| 3399 |
+
},
|
| 3400 |
+
{
|
| 3401 |
+
"epoch": 40.43,
|
| 3402 |
+
"learning_rate": 0.003386243386243386,
|
| 3403 |
+
"loss": 0.0012,
|
| 3404 |
+
"step": 5660
|
| 3405 |
+
},
|
| 3406 |
+
{
|
| 3407 |
+
"epoch": 40.5,
|
| 3408 |
+
"learning_rate": 0.003333333333333333,
|
| 3409 |
+
"loss": 0.0012,
|
| 3410 |
+
"step": 5670
|
| 3411 |
+
},
|
| 3412 |
+
{
|
| 3413 |
+
"epoch": 40.57,
|
| 3414 |
+
"learning_rate": 0.0032804232804232803,
|
| 3415 |
+
"loss": 0.0011,
|
| 3416 |
+
"step": 5680
|
| 3417 |
+
},
|
| 3418 |
+
{
|
| 3419 |
+
"epoch": 40.64,
|
| 3420 |
+
"learning_rate": 0.003227513227513227,
|
| 3421 |
+
"loss": 0.0012,
|
| 3422 |
+
"step": 5690
|
| 3423 |
+
},
|
| 3424 |
+
{
|
| 3425 |
+
"epoch": 40.71,
|
| 3426 |
+
"learning_rate": 0.003174603174603174,
|
| 3427 |
+
"loss": 0.0012,
|
| 3428 |
+
"step": 5700
|
| 3429 |
+
},
|
| 3430 |
+
{
|
| 3431 |
+
"epoch": 40.79,
|
| 3432 |
+
"learning_rate": 0.0031216931216931213,
|
| 3433 |
+
"loss": 0.0011,
|
| 3434 |
+
"step": 5710
|
| 3435 |
+
},
|
| 3436 |
+
{
|
| 3437 |
+
"epoch": 40.86,
|
| 3438 |
+
"learning_rate": 0.0030687830687830685,
|
| 3439 |
+
"loss": 0.0012,
|
| 3440 |
+
"step": 5720
|
| 3441 |
+
},
|
| 3442 |
+
{
|
| 3443 |
+
"epoch": 40.93,
|
| 3444 |
+
"learning_rate": 0.0030158730158730157,
|
| 3445 |
+
"loss": 0.0011,
|
| 3446 |
+
"step": 5730
|
| 3447 |
+
},
|
| 3448 |
+
{
|
| 3449 |
+
"epoch": 41.0,
|
| 3450 |
+
"learning_rate": 0.002962962962962963,
|
| 3451 |
+
"loss": 0.001,
|
| 3452 |
+
"step": 5740
|
| 3453 |
+
},
|
| 3454 |
+
{
|
| 3455 |
+
"epoch": 41.07,
|
| 3456 |
+
"learning_rate": 0.00291005291005291,
|
| 3457 |
+
"loss": 0.0012,
|
| 3458 |
+
"step": 5750
|
| 3459 |
+
},
|
| 3460 |
+
{
|
| 3461 |
+
"epoch": 41.14,
|
| 3462 |
+
"learning_rate": 0.0028571428571428567,
|
| 3463 |
+
"loss": 0.0011,
|
| 3464 |
+
"step": 5760
|
| 3465 |
+
},
|
| 3466 |
+
{
|
| 3467 |
+
"epoch": 41.21,
|
| 3468 |
+
"learning_rate": 0.002804232804232804,
|
| 3469 |
+
"loss": 0.0012,
|
| 3470 |
+
"step": 5770
|
| 3471 |
+
},
|
| 3472 |
+
{
|
| 3473 |
+
"epoch": 41.29,
|
| 3474 |
+
"learning_rate": 0.002751322751322751,
|
| 3475 |
+
"loss": 0.0011,
|
| 3476 |
+
"step": 5780
|
| 3477 |
+
},
|
| 3478 |
+
{
|
| 3479 |
+
"epoch": 41.36,
|
| 3480 |
+
"learning_rate": 0.002698412698412698,
|
| 3481 |
+
"loss": 0.001,
|
| 3482 |
+
"step": 5790
|
| 3483 |
+
},
|
| 3484 |
+
{
|
| 3485 |
+
"epoch": 41.43,
|
| 3486 |
+
"learning_rate": 0.0026455026455026454,
|
| 3487 |
+
"loss": 0.0012,
|
| 3488 |
+
"step": 5800
|
| 3489 |
+
},
|
| 3490 |
+
{
|
| 3491 |
+
"epoch": 41.5,
|
| 3492 |
+
"learning_rate": 0.0025925925925925925,
|
| 3493 |
+
"loss": 0.0011,
|
| 3494 |
+
"step": 5810
|
| 3495 |
+
},
|
| 3496 |
+
{
|
| 3497 |
+
"epoch": 41.57,
|
| 3498 |
+
"learning_rate": 0.0025396825396825392,
|
| 3499 |
+
"loss": 0.001,
|
| 3500 |
+
"step": 5820
|
| 3501 |
+
},
|
| 3502 |
+
{
|
| 3503 |
+
"epoch": 41.64,
|
| 3504 |
+
"learning_rate": 0.0024867724867724864,
|
| 3505 |
+
"loss": 0.0012,
|
| 3506 |
+
"step": 5830
|
| 3507 |
+
},
|
| 3508 |
+
{
|
| 3509 |
+
"epoch": 41.71,
|
| 3510 |
+
"learning_rate": 0.0024338624338624336,
|
| 3511 |
+
"loss": 0.0012,
|
| 3512 |
+
"step": 5840
|
| 3513 |
+
},
|
| 3514 |
+
{
|
| 3515 |
+
"epoch": 41.79,
|
| 3516 |
+
"learning_rate": 0.0023809523809523807,
|
| 3517 |
+
"loss": 0.0011,
|
| 3518 |
+
"step": 5850
|
| 3519 |
+
},
|
| 3520 |
+
{
|
| 3521 |
+
"epoch": 41.86,
|
| 3522 |
+
"learning_rate": 0.002328042328042328,
|
| 3523 |
+
"loss": 0.0012,
|
| 3524 |
+
"step": 5860
|
| 3525 |
+
},
|
| 3526 |
+
{
|
| 3527 |
+
"epoch": 41.93,
|
| 3528 |
+
"learning_rate": 0.002275132275132275,
|
| 3529 |
+
"loss": 0.0011,
|
| 3530 |
+
"step": 5870
|
| 3531 |
+
},
|
| 3532 |
+
{
|
| 3533 |
+
"epoch": 42.0,
|
| 3534 |
+
"learning_rate": 0.0022222222222222222,
|
| 3535 |
+
"loss": 0.0011,
|
| 3536 |
+
"step": 5880
|
| 3537 |
+
},
|
| 3538 |
+
{
|
| 3539 |
+
"epoch": 42.07,
|
| 3540 |
+
"learning_rate": 0.002169312169312169,
|
| 3541 |
+
"loss": 0.0012,
|
| 3542 |
+
"step": 5890
|
| 3543 |
+
},
|
| 3544 |
+
{
|
| 3545 |
+
"epoch": 42.14,
|
| 3546 |
+
"learning_rate": 0.002116402116402116,
|
| 3547 |
+
"loss": 0.001,
|
| 3548 |
+
"step": 5900
|
| 3549 |
+
},
|
| 3550 |
+
{
|
| 3551 |
+
"epoch": 42.21,
|
| 3552 |
+
"learning_rate": 0.0020634920634920633,
|
| 3553 |
+
"loss": 0.0011,
|
| 3554 |
+
"step": 5910
|
| 3555 |
+
},
|
| 3556 |
+
{
|
| 3557 |
+
"epoch": 42.29,
|
| 3558 |
+
"learning_rate": 0.0020105820105820104,
|
| 3559 |
+
"loss": 0.0012,
|
| 3560 |
+
"step": 5920
|
| 3561 |
+
},
|
| 3562 |
+
{
|
| 3563 |
+
"epoch": 42.36,
|
| 3564 |
+
"learning_rate": 0.0019576719576719576,
|
| 3565 |
+
"loss": 0.0012,
|
| 3566 |
+
"step": 5930
|
| 3567 |
+
},
|
| 3568 |
+
{
|
| 3569 |
+
"epoch": 42.43,
|
| 3570 |
+
"learning_rate": 0.0019047619047619045,
|
| 3571 |
+
"loss": 0.0011,
|
| 3572 |
+
"step": 5940
|
| 3573 |
+
},
|
| 3574 |
+
{
|
| 3575 |
+
"epoch": 42.5,
|
| 3576 |
+
"learning_rate": 0.0018518518518518517,
|
| 3577 |
+
"loss": 0.0011,
|
| 3578 |
+
"step": 5950
|
| 3579 |
+
},
|
| 3580 |
+
{
|
| 3581 |
+
"epoch": 42.57,
|
| 3582 |
+
"learning_rate": 0.0017989417989417989,
|
| 3583 |
+
"loss": 0.0012,
|
| 3584 |
+
"step": 5960
|
| 3585 |
+
},
|
| 3586 |
+
{
|
| 3587 |
+
"epoch": 42.64,
|
| 3588 |
+
"learning_rate": 0.0017460317460317458,
|
| 3589 |
+
"loss": 0.0012,
|
| 3590 |
+
"step": 5970
|
| 3591 |
+
},
|
| 3592 |
+
{
|
| 3593 |
+
"epoch": 42.71,
|
| 3594 |
+
"learning_rate": 0.001693121693121693,
|
| 3595 |
+
"loss": 0.0011,
|
| 3596 |
+
"step": 5980
|
| 3597 |
+
},
|
| 3598 |
+
{
|
| 3599 |
+
"epoch": 42.79,
|
| 3600 |
+
"learning_rate": 0.0016402116402116401,
|
| 3601 |
+
"loss": 0.0012,
|
| 3602 |
+
"step": 5990
|
| 3603 |
+
},
|
| 3604 |
+
{
|
| 3605 |
+
"epoch": 42.86,
|
| 3606 |
+
"learning_rate": 0.001587301587301587,
|
| 3607 |
+
"loss": 0.0011,
|
| 3608 |
+
"step": 6000
|
| 3609 |
+
},
|
| 3610 |
+
{
|
| 3611 |
+
"epoch": 42.93,
|
| 3612 |
+
"learning_rate": 0.0015343915343915342,
|
| 3613 |
+
"loss": 0.0011,
|
| 3614 |
+
"step": 6010
|
| 3615 |
+
},
|
| 3616 |
+
{
|
| 3617 |
+
"epoch": 43.0,
|
| 3618 |
+
"learning_rate": 0.0014814814814814814,
|
| 3619 |
+
"loss": 0.0011,
|
| 3620 |
+
"step": 6020
|
| 3621 |
+
},
|
| 3622 |
+
{
|
| 3623 |
+
"epoch": 43.07,
|
| 3624 |
+
"learning_rate": 0.0014285714285714284,
|
| 3625 |
+
"loss": 0.0011,
|
| 3626 |
+
"step": 6030
|
| 3627 |
+
},
|
| 3628 |
+
{
|
| 3629 |
+
"epoch": 43.14,
|
| 3630 |
+
"learning_rate": 0.0013756613756613755,
|
| 3631 |
+
"loss": 0.0012,
|
| 3632 |
+
"step": 6040
|
| 3633 |
+
},
|
| 3634 |
+
{
|
| 3635 |
+
"epoch": 43.21,
|
| 3636 |
+
"learning_rate": 0.0013227513227513227,
|
| 3637 |
+
"loss": 0.0012,
|
| 3638 |
+
"step": 6050
|
| 3639 |
+
},
|
| 3640 |
+
{
|
| 3641 |
+
"epoch": 43.29,
|
| 3642 |
+
"learning_rate": 0.0012698412698412696,
|
| 3643 |
+
"loss": 0.0013,
|
| 3644 |
+
"step": 6060
|
| 3645 |
+
},
|
| 3646 |
+
{
|
| 3647 |
+
"epoch": 43.36,
|
| 3648 |
+
"learning_rate": 0.0012169312169312168,
|
| 3649 |
+
"loss": 0.0012,
|
| 3650 |
+
"step": 6070
|
| 3651 |
+
},
|
| 3652 |
+
{
|
| 3653 |
+
"epoch": 43.43,
|
| 3654 |
+
"learning_rate": 0.001164021164021164,
|
| 3655 |
+
"loss": 0.0011,
|
| 3656 |
+
"step": 6080
|
| 3657 |
+
},
|
| 3658 |
+
{
|
| 3659 |
+
"epoch": 43.5,
|
| 3660 |
+
"learning_rate": 0.0011111111111111111,
|
| 3661 |
+
"loss": 0.0011,
|
| 3662 |
+
"step": 6090
|
| 3663 |
+
},
|
| 3664 |
+
{
|
| 3665 |
+
"epoch": 43.57,
|
| 3666 |
+
"learning_rate": 0.001058201058201058,
|
| 3667 |
+
"loss": 0.0011,
|
| 3668 |
+
"step": 6100
|
| 3669 |
+
},
|
| 3670 |
+
{
|
| 3671 |
+
"epoch": 43.64,
|
| 3672 |
+
"learning_rate": 0.0010052910052910052,
|
| 3673 |
+
"loss": 0.0012,
|
| 3674 |
+
"step": 6110
|
| 3675 |
+
},
|
| 3676 |
+
{
|
| 3677 |
+
"epoch": 43.71,
|
| 3678 |
+
"learning_rate": 0.0009523809523809523,
|
| 3679 |
+
"loss": 0.0011,
|
| 3680 |
+
"step": 6120
|
| 3681 |
+
},
|
| 3682 |
+
{
|
| 3683 |
+
"epoch": 43.79,
|
| 3684 |
+
"learning_rate": 0.0008994708994708994,
|
| 3685 |
+
"loss": 0.0011,
|
| 3686 |
+
"step": 6130
|
| 3687 |
+
},
|
| 3688 |
+
{
|
| 3689 |
+
"epoch": 43.86,
|
| 3690 |
+
"learning_rate": 0.0008465608465608465,
|
| 3691 |
+
"loss": 0.0011,
|
| 3692 |
+
"step": 6140
|
| 3693 |
+
},
|
| 3694 |
+
{
|
| 3695 |
+
"epoch": 43.93,
|
| 3696 |
+
"learning_rate": 0.0007936507936507935,
|
| 3697 |
+
"loss": 0.0011,
|
| 3698 |
+
"step": 6150
|
| 3699 |
+
},
|
| 3700 |
+
{
|
| 3701 |
+
"epoch": 44.0,
|
| 3702 |
+
"learning_rate": 0.0007407407407407407,
|
| 3703 |
+
"loss": 0.0011,
|
| 3704 |
+
"step": 6160
|
| 3705 |
+
},
|
| 3706 |
+
{
|
| 3707 |
+
"epoch": 44.07,
|
| 3708 |
+
"learning_rate": 0.0006878306878306878,
|
| 3709 |
+
"loss": 0.0011,
|
| 3710 |
+
"step": 6170
|
| 3711 |
+
},
|
| 3712 |
+
{
|
| 3713 |
+
"epoch": 44.14,
|
| 3714 |
+
"learning_rate": 0.0006349206349206348,
|
| 3715 |
+
"loss": 0.0011,
|
| 3716 |
+
"step": 6180
|
| 3717 |
+
},
|
| 3718 |
+
{
|
| 3719 |
+
"epoch": 44.21,
|
| 3720 |
+
"learning_rate": 0.000582010582010582,
|
| 3721 |
+
"loss": 0.0012,
|
| 3722 |
+
"step": 6190
|
| 3723 |
+
},
|
| 3724 |
+
{
|
| 3725 |
+
"epoch": 44.29,
|
| 3726 |
+
"learning_rate": 0.000529100529100529,
|
| 3727 |
+
"loss": 0.0011,
|
| 3728 |
+
"step": 6200
|
| 3729 |
+
},
|
| 3730 |
+
{
|
| 3731 |
+
"epoch": 44.36,
|
| 3732 |
+
"learning_rate": 0.00047619047619047614,
|
| 3733 |
+
"loss": 0.0011,
|
| 3734 |
+
"step": 6210
|
| 3735 |
+
},
|
| 3736 |
+
{
|
| 3737 |
+
"epoch": 44.43,
|
| 3738 |
+
"learning_rate": 0.00042328042328042324,
|
| 3739 |
+
"loss": 0.0012,
|
| 3740 |
+
"step": 6220
|
| 3741 |
+
},
|
| 3742 |
+
{
|
| 3743 |
+
"epoch": 44.5,
|
| 3744 |
+
"learning_rate": 0.00037037037037037035,
|
| 3745 |
+
"loss": 0.0011,
|
| 3746 |
+
"step": 6230
|
| 3747 |
+
},
|
| 3748 |
+
{
|
| 3749 |
+
"epoch": 44.57,
|
| 3750 |
+
"learning_rate": 0.0003174603174603174,
|
| 3751 |
+
"loss": 0.0012,
|
| 3752 |
+
"step": 6240
|
| 3753 |
+
},
|
| 3754 |
+
{
|
| 3755 |
+
"epoch": 44.64,
|
| 3756 |
+
"learning_rate": 0.0002645502645502645,
|
| 3757 |
+
"loss": 0.0011,
|
| 3758 |
+
"step": 6250
|
| 3759 |
+
},
|
| 3760 |
+
{
|
| 3761 |
+
"epoch": 44.71,
|
| 3762 |
+
"learning_rate": 0.00021164021164021162,
|
| 3763 |
+
"loss": 0.0012,
|
| 3764 |
+
"step": 6260
|
| 3765 |
+
},
|
| 3766 |
+
{
|
| 3767 |
+
"epoch": 44.79,
|
| 3768 |
+
"learning_rate": 0.0001587301587301587,
|
| 3769 |
+
"loss": 0.0012,
|
| 3770 |
+
"step": 6270
|
| 3771 |
+
},
|
| 3772 |
+
{
|
| 3773 |
+
"epoch": 44.86,
|
| 3774 |
+
"learning_rate": 0.00010582010582010581,
|
| 3775 |
+
"loss": 0.0011,
|
| 3776 |
+
"step": 6280
|
| 3777 |
+
},
|
| 3778 |
+
{
|
| 3779 |
+
"epoch": 44.93,
|
| 3780 |
+
"learning_rate": 5.2910052910052905e-05,
|
| 3781 |
+
"loss": 0.0011,
|
| 3782 |
+
"step": 6290
|
| 3783 |
+
},
|
| 3784 |
+
{
|
| 3785 |
+
"epoch": 45.0,
|
| 3786 |
+
"learning_rate": 0.0,
|
| 3787 |
+
"loss": 0.0012,
|
| 3788 |
+
"step": 6300
|
| 3789 |
+
}
|
| 3790 |
+
],
|
| 3791 |
+
"max_steps": 6300,
|
| 3792 |
+
"num_train_epochs": 45,
|
| 3793 |
+
"total_flos": 1.8837542182050202e+18,
|
| 3794 |
+
"trial_name": null,
|
| 3795 |
+
"trial_params": null
|
| 3796 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:08687d6f956c3cc113f9479ebcc4bbca64cfc9edc0f1909d965358b4185a881f
|
| 3 |
+
size 3119
|