tmnam20 commited on
Commit
e6934bc
1 Parent(s): 3d77484

Training in progress, step 7000, checkpoint

Browse files
checkpoint-7000/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:01a039de276d3d503e1de7a9481112eeb163fb9c39848b76716f7bff7d94b8e2
3
  size 932401285
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b970bdaad3a27934e43451f1ca67396a3045eabb5c2b7b7bc5e02caf0ee261c0
3
  size 932401285
checkpoint-7000/pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ff57b0fdc1813300707e64591159aad2be1f7154dc8e796ac89f35ad591c180f
3
  size 466205145
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:31cad32330300f43e45a5a7d909914091fca7d3183cb4a3b49b0a89e2ed15a47
3
  size 466205145
checkpoint-7000/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0779d3373f6c42781e560002a14c8f3261256d9bdec0e85aacf4b2eb00c6a938
3
  size 14575
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fb9f2e0fe44cd6e89f8d70ba5dad4776ffb13ca2ca0289320bbcd0320112208b
3
  size 14575
checkpoint-7000/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:66d5b2894267dda7f5d14d709c0adb9888a3961459e1eba777037485c4ccb114
3
  size 627
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3132b1c353e0f49659459621778965c7d8d90b68905966a6863a73a95e506d94
3
  size 627
checkpoint-7000/trainer_state.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
- "best_metric": 1.118302583694458,
3
  "best_model_checkpoint": "/kaggle/output/checkpoint-7000",
4
- "epoch": 112.0,
5
  "eval_steps": 1000,
6
  "global_step": 7000,
7
  "is_hyper_param_search": false,
@@ -9,120 +9,120 @@
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
- "epoch": 96.0,
94
- "learning_rate": 1.6650000000000002e-07,
95
- "loss": 1.1053,
96
  "step": 6000
97
  },
98
  {
99
- "epoch": 96.0,
100
- "eval_accuracy": 0.32894211576846305,
101
- "eval_loss": 1.1218452453613281,
102
- "eval_runtime": 54.0607,
103
- "eval_samples_per_second": 92.674,
104
- "eval_steps_per_second": 11.598,
105
  "step": 6000
106
  },
107
  {
108
- "epoch": 112.0,
109
- "learning_rate": 1.9422222222222223e-07,
110
- "loss": 1.0952,
111
  "step": 7000
112
  },
113
  {
114
- "epoch": 112.0,
115
- "eval_accuracy": 0.33073852295409184,
116
- "eval_loss": 1.118302583694458,
117
- "eval_runtime": 53.9252,
118
- "eval_samples_per_second": 92.906,
119
- "eval_steps_per_second": 11.627,
120
  "step": 7000
121
  }
122
  ],
123
  "logging_steps": 1000,
124
  "max_steps": 10000000,
125
- "num_train_epochs": 161291,
126
  "save_steps": 1000,
127
  "total_flos": 1.4632485912576e+16,
128
  "trial_name": null,
 
1
  {
2
+ "best_metric": 1.1066845655441284,
3
  "best_model_checkpoint": "/kaggle/output/checkpoint-7000",
4
+ "epoch": 0.28520208604954367,
5
  "eval_steps": 1000,
6
  "global_step": 7000,
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
+ "epoch": 0.24,
94
+ "learning_rate": 1.664722222222222e-07,
95
+ "loss": 1.1201,
96
  "step": 6000
97
  },
98
  {
99
+ "epoch": 0.24,
100
+ "eval_accuracy": 0.34151696606786425,
101
+ "eval_loss": 1.1093512773513794,
102
+ "eval_runtime": 54.3536,
103
+ "eval_samples_per_second": 92.174,
104
+ "eval_steps_per_second": 11.536,
105
  "step": 6000
106
  },
107
  {
108
+ "epoch": 0.29,
109
+ "learning_rate": 1.9425e-07,
110
+ "loss": 1.115,
111
  "step": 7000
112
  },
113
  {
114
+ "epoch": 0.29,
115
+ "eval_accuracy": 0.34510978043912177,
116
+ "eval_loss": 1.1066845655441284,
117
+ "eval_runtime": 53.9977,
118
+ "eval_samples_per_second": 92.782,
119
+ "eval_steps_per_second": 11.612,
120
  "step": 7000
121
  }
122
  ],
123
  "logging_steps": 1000,
124
  "max_steps": 10000000,
125
+ "num_train_epochs": 408,
126
  "save_steps": 1000,
127
  "total_flos": 1.4632485912576e+16,
128
  "trial_name": null,
checkpoint-7000/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