tmnam20 commited on
Commit
74cc4ca
1 Parent(s): bc8e97f

Training in progress, step 5000, checkpoint

Browse files
checkpoint-5000/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7902c716e590f670e651e346fedfdddcd544221f9b4a502a81f9fdd27c83afce
3
  size 932401285
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7115746d15f08b6618c5f1b0aeb5872d23f72550d0fb056fcfca93d4725e6b64
3
  size 932401285
checkpoint-5000/pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4e2806f00f9ea526da132ad7d55fd9d4e7d1d2520b79d41df975ecac06c60592
3
  size 466205145
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b5ca8082e08078369e5b09323543abeeeb800d2bb4a97d0db1f7adb6ddc0be43
3
  size 466205145
checkpoint-5000/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b1eee49e390715d44b50acd346362e8099506da3bfac073541deffb3e77aceef
3
  size 14575
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b022999c1435f98b9d22debfeab12e4a7dd4e89e5b00b56a9c42efa9f3f26b71
3
  size 14575
checkpoint-5000/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b7f6583fe80b7f6d3689cfbad65543a24baae08d3465a5e9548e555eaf523455
3
  size 627
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6bbb778db901bff1005340023a9c33f0edd2c6a423c9f8c18eeba75229dc6d42
3
  size 627
checkpoint-5000/trainer_state.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
- "best_metric": 1.1283142566680908,
3
  "best_model_checkpoint": "/kaggle/output/checkpoint-5000",
4
- "epoch": 80.0,
5
  "eval_steps": 1000,
6
  "global_step": 5000,
7
  "is_hyper_param_search": false,
@@ -9,90 +9,90 @@
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
- "epoch": 0.02,
13
  "learning_rate": 2.7777777777777777e-11,
14
- "loss": 1.2395,
15
  "step": 1
16
  },
17
  {
18
- "epoch": 16.0,
19
  "learning_rate": 2.7638888888888893e-08,
20
- "loss": 1.1422,
21
  "step": 1000
22
  },
23
  {
24
- "epoch": 16.0,
25
- "eval_accuracy": 0.33073852295409184,
26
- "eval_loss": 1.1557353734970093,
27
- "eval_runtime": 54.1805,
28
- "eval_samples_per_second": 92.469,
29
- "eval_steps_per_second": 11.572,
30
  "step": 1000
31
  },
32
  {
33
- "epoch": 32.0,
34
  "learning_rate": 5.541666666666667e-08,
35
- "loss": 1.1401,
36
  "step": 2000
37
  },
38
  {
39
- "epoch": 32.0,
40
- "eval_accuracy": 0.3311377245508982,
41
- "eval_loss": 1.1507551670074463,
42
- "eval_runtime": 53.98,
43
- "eval_samples_per_second": 92.812,
44
- "eval_steps_per_second": 11.615,
45
  "step": 2000
46
  },
47
  {
48
- "epoch": 48.0,
49
  "learning_rate": 8.316666666666666e-08,
50
- "loss": 1.1287,
51
  "step": 3000
52
  },
53
  {
54
- "epoch": 48.0,
55
- "eval_accuracy": 0.3321357285429142,
56
- "eval_loss": 1.1441665887832642,
57
- "eval_runtime": 53.9873,
58
- "eval_samples_per_second": 92.8,
59
- "eval_steps_per_second": 11.614,
60
  "step": 3000
61
  },
62
  {
63
- "epoch": 64.0,
64
- "learning_rate": 1.1094444444444445e-07,
65
- "loss": 1.117,
66
  "step": 4000
67
  },
68
  {
69
- "epoch": 64.0,
70
- "eval_accuracy": 0.3287425149700599,
71
- "eval_loss": 1.134506344795227,
72
- "eval_runtime": 54.0067,
73
- "eval_samples_per_second": 92.766,
74
- "eval_steps_per_second": 11.61,
75
  "step": 4000
76
  },
77
  {
78
- "epoch": 80.0,
79
- "learning_rate": 1.3872222222222222e-07,
80
- "loss": 1.1111,
81
  "step": 5000
82
  },
83
  {
84
- "epoch": 80.0,
85
- "eval_accuracy": 0.32954091816367265,
86
- "eval_loss": 1.1283142566680908,
87
- "eval_runtime": 54.0921,
88
- "eval_samples_per_second": 92.62,
89
- "eval_steps_per_second": 11.591,
90
  "step": 5000
91
  }
92
  ],
93
  "logging_steps": 1000,
94
  "max_steps": 10000000,
95
- "num_train_epochs": 161291,
96
  "save_steps": 1000,
97
  "total_flos": 1.045177565184e+16,
98
  "trial_name": null,
 
1
  {
2
+ "best_metric": 1.1131775379180908,
3
  "best_model_checkpoint": "/kaggle/output/checkpoint-5000",
4
+ "epoch": 0.20371577574967406,
5
  "eval_steps": 1000,
6
  "global_step": 5000,
7
  "is_hyper_param_search": false,
 
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
+ "epoch": 0.0,
13
  "learning_rate": 2.7777777777777777e-11,
14
+ "loss": 1.029,
15
  "step": 1
16
  },
17
  {
18
+ "epoch": 0.04,
19
  "learning_rate": 2.7638888888888893e-08,
20
+ "loss": 1.181,
21
  "step": 1000
22
  },
23
  {
24
+ "epoch": 0.04,
25
+ "eval_accuracy": 0.3273453093812375,
26
+ "eval_loss": 1.1529844999313354,
27
+ "eval_runtime": 54.2837,
28
+ "eval_samples_per_second": 92.293,
29
+ "eval_steps_per_second": 11.55,
30
  "step": 1000
31
  },
32
  {
33
+ "epoch": 0.08,
34
  "learning_rate": 5.541666666666667e-08,
35
+ "loss": 1.1527,
36
  "step": 2000
37
  },
38
  {
39
+ "epoch": 0.08,
40
+ "eval_accuracy": 0.33013972055888224,
41
+ "eval_loss": 1.1351025104522705,
42
+ "eval_runtime": 54.0518,
43
+ "eval_samples_per_second": 92.689,
44
+ "eval_steps_per_second": 11.6,
45
  "step": 2000
46
  },
47
  {
48
+ "epoch": 0.12,
49
  "learning_rate": 8.316666666666666e-08,
50
+ "loss": 1.142,
51
  "step": 3000
52
  },
53
  {
54
+ "epoch": 0.12,
55
+ "eval_accuracy": 0.3317365269461078,
56
+ "eval_loss": 1.127414345741272,
57
+ "eval_runtime": 54.0871,
58
+ "eval_samples_per_second": 92.628,
59
+ "eval_steps_per_second": 11.592,
60
  "step": 3000
61
  },
62
  {
63
+ "epoch": 0.16,
64
+ "learning_rate": 1.1091666666666668e-07,
65
+ "loss": 1.1371,
66
  "step": 4000
67
  },
68
  {
69
+ "epoch": 0.16,
70
+ "eval_accuracy": 0.331936127744511,
71
+ "eval_loss": 1.1194497346878052,
72
+ "eval_runtime": 54.3907,
73
+ "eval_samples_per_second": 92.111,
74
+ "eval_steps_per_second": 11.528,
75
  "step": 4000
76
  },
77
  {
78
+ "epoch": 0.2,
79
+ "learning_rate": 1.3869444444444447e-07,
80
+ "loss": 1.1246,
81
  "step": 5000
82
  },
83
  {
84
+ "epoch": 0.2,
85
+ "eval_accuracy": 0.3345309381237525,
86
+ "eval_loss": 1.1131775379180908,
87
+ "eval_runtime": 54.3492,
88
+ "eval_samples_per_second": 92.182,
89
+ "eval_steps_per_second": 11.537,
90
  "step": 5000
91
  }
92
  ],
93
  "logging_steps": 1000,
94
  "max_steps": 10000000,
95
+ "num_train_epochs": 408,
96
  "save_steps": 1000,
97
  "total_flos": 1.045177565184e+16,
98
  "trial_name": null,
checkpoint-5000/training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cb2cd1b7e648a386ccb79e47a451842e11001981c4363e993b678e0818db5cab
3
  size 4091
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5520446b18da09f4a43173b75839457981a344c0e709fd4bbcb249e3f60c859e
3
  size 4091