CodeIsAbstract commited on
Commit
b0d7257
·
verified ·
1 Parent(s): 8e2d5ef

Training in progress, step 500, checkpoint

Browse files
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f5805072dd72dbaa444aa95ea79904fe117bd9e08603dd8903d889b35eb5d72c
3
  size 386379
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:700544197588712cbd24925d79ebf512ccf55a8d291b4bbb7d2bc30f996e614d
3
  size 386379
last-checkpoint/pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0b50dc3b8d7f6527e6deb35523fc5f4f66de87b59bae32d7b673859cc29de173
3
  size 1540661735
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:81febf7d39716c7adbb764e3bc21e58f5f8a1c1c6135c7bb64981adb8fb01d11
3
  size 1540661735
last-checkpoint/trainer_state.json CHANGED
@@ -11,82 +11,82 @@
11
  "log_history": [
12
  {
13
  "epoch": 0.1,
14
- "grad_norm": 1.0159783363342285,
15
  "learning_rate": 0.003920764340590609,
16
- "loss": 67.322138671875,
17
  "step": 100
18
  },
19
  {
20
  "epoch": 0.1,
21
- "eval_accuracy": 0.1363150684931507,
22
- "eval_loss": 62.45854568481445,
23
- "eval_runtime": 15.2216,
24
- "eval_samples_per_second": 8.212,
25
- "eval_steps_per_second": 0.263,
26
  "step": 100
27
  },
28
  {
29
  "epoch": 0.2,
30
- "grad_norm": 1.178174614906311,
31
  "learning_rate": 0.003650943793925548,
32
- "loss": 60.51267578125,
33
  "step": 200
34
  },
35
  {
36
  "epoch": 0.2,
37
- "eval_accuracy": 0.14354794520547945,
38
- "eval_loss": 59.48474884033203,
39
- "eval_runtime": 3.1576,
40
- "eval_samples_per_second": 39.587,
41
- "eval_steps_per_second": 1.267,
42
  "step": 200
43
  },
44
  {
45
  "epoch": 0.3,
46
- "grad_norm": 0.9601056575775146,
47
  "learning_rate": 0.0032162636906540357,
48
- "loss": 58.783408203125,
49
  "step": 300
50
  },
51
  {
52
  "epoch": 0.3,
53
- "eval_accuracy": 0.14687671232876712,
54
- "eval_loss": 58.058326721191406,
55
- "eval_runtime": 3.3957,
56
- "eval_samples_per_second": 36.812,
57
- "eval_steps_per_second": 1.178,
58
  "step": 300
59
  },
60
  {
61
  "epoch": 0.4,
62
- "grad_norm": 0.6054814457893372,
63
  "learning_rate": 0.0026601302141692667,
64
- "loss": 57.62333984375,
65
  "step": 400
66
  },
67
  {
68
  "epoch": 0.4,
69
- "eval_accuracy": 0.1496399217221135,
70
- "eval_loss": 57.01893615722656,
71
- "eval_runtime": 3.9547,
72
- "eval_samples_per_second": 31.608,
73
- "eval_steps_per_second": 1.011,
74
  "step": 400
75
  },
76
  {
77
  "epoch": 0.5,
78
- "grad_norm": 0.638672411441803,
79
  "learning_rate": 0.002038077610206693,
80
- "loss": 56.62125,
81
  "step": 500
82
  },
83
  {
84
  "epoch": 0.5,
85
- "eval_accuracy": 0.151720156555773,
86
- "eval_loss": 56.300567626953125,
87
- "eval_runtime": 3.3169,
88
- "eval_samples_per_second": 37.686,
89
- "eval_steps_per_second": 1.206,
90
  "step": 500
91
  }
92
  ],
 
11
  "log_history": [
12
  {
13
  "epoch": 0.1,
14
+ "grad_norm": 1.026106834411621,
15
  "learning_rate": 0.003920764340590609,
16
+ "loss": 68.1809814453125,
17
  "step": 100
18
  },
19
  {
20
  "epoch": 0.1,
21
+ "eval_accuracy": 0.13532681017612525,
22
+ "eval_loss": 63.20947265625,
23
+ "eval_runtime": 14.9666,
24
+ "eval_samples_per_second": 8.352,
25
+ "eval_steps_per_second": 0.267,
26
  "step": 100
27
  },
28
  {
29
  "epoch": 0.2,
30
+ "grad_norm": 1.1686949729919434,
31
  "learning_rate": 0.003650943793925548,
32
+ "loss": 61.33072265625,
33
  "step": 200
34
  },
35
  {
36
  "epoch": 0.2,
37
+ "eval_accuracy": 0.14370254403131116,
38
+ "eval_loss": 60.317352294921875,
39
+ "eval_runtime": 3.2913,
40
+ "eval_samples_per_second": 37.979,
41
+ "eval_steps_per_second": 1.215,
42
  "step": 200
43
  },
44
  {
45
  "epoch": 0.3,
46
+ "grad_norm": 0.9769435524940491,
47
  "learning_rate": 0.0032162636906540357,
48
+ "loss": 59.6425439453125,
49
  "step": 300
50
  },
51
  {
52
  "epoch": 0.3,
53
+ "eval_accuracy": 0.14733463796477494,
54
+ "eval_loss": 58.926719665527344,
55
+ "eval_runtime": 3.3852,
56
+ "eval_samples_per_second": 36.925,
57
+ "eval_steps_per_second": 1.182,
58
  "step": 300
59
  },
60
  {
61
  "epoch": 0.4,
62
+ "grad_norm": 0.6136718392372131,
63
  "learning_rate": 0.0026601302141692667,
64
+ "loss": 58.5160546875,
65
  "step": 400
66
  },
67
  {
68
  "epoch": 0.4,
69
+ "eval_accuracy": 0.149293542074364,
70
+ "eval_loss": 57.94895935058594,
71
+ "eval_runtime": 3.1596,
72
+ "eval_samples_per_second": 39.562,
73
+ "eval_steps_per_second": 1.266,
74
  "step": 400
75
  },
76
  {
77
  "epoch": 0.5,
78
+ "grad_norm": 0.6485599875450134,
79
  "learning_rate": 0.002038077610206693,
80
+ "loss": 57.5463623046875,
81
  "step": 500
82
  },
83
  {
84
  "epoch": 0.5,
85
+ "eval_accuracy": 0.15155577299412915,
86
+ "eval_loss": 57.233314514160156,
87
+ "eval_runtime": 3.1982,
88
+ "eval_samples_per_second": 39.085,
89
+ "eval_steps_per_second": 1.251,
90
  "step": 500
91
  }
92
  ],