File size: 3,083 Bytes
7a880dc
4609af2
 
 
7a880dc
 
 
 
 
 
 
4609af2
 
 
 
 
 
 
 
 
 
 
7a880dc
 
 
4609af2
 
 
 
 
 
 
 
 
 
 
7a880dc
 
 
4609af2
 
 
 
 
 
 
 
 
 
 
7a880dc
 
 
4609af2
 
 
 
 
 
 
 
 
 
 
7a880dc
 
 
4609af2
 
 
 
 
 
 
 
 
 
 
7a880dc
 
 
4609af2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7a880dc
 
 
4609af2
 
7a880dc
4609af2
7a880dc
4609af2
 
 
 
 
 
 
 
 
 
 
 
 
 
7a880dc
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
{
  "best_metric": 0.6374139189720154,
  "best_model_checkpoint": "./llama3/28-08-24-Weni-Pipeline_test_Experiment with SFT and Llama3 70b-2_max_steps-1362_batch_16_2024-08-28/checkpoint-100",
  "epoch": 0.2202036884117809,
  "eval_steps": 100,
  "global_step": 100,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.02202036884117809,
      "grad_norm": 0.6965782642364502,
      "learning_rate": 7.5e-05,
      "loss": 2.1201,
      "step": 10
    },
    {
      "epoch": 0.04404073768235618,
      "grad_norm": 0.7504029870033264,
      "learning_rate": 0.00015,
      "loss": 0.9392,
      "step": 20
    },
    {
      "epoch": 0.06606110652353427,
      "grad_norm": 0.7269854545593262,
      "learning_rate": 0.000225,
      "loss": 0.7958,
      "step": 30
    },
    {
      "epoch": 0.08808147536471236,
      "grad_norm": 0.15891791880130768,
      "learning_rate": 0.0003,
      "loss": 0.7251,
      "step": 40
    },
    {
      "epoch": 0.11010184420589045,
      "grad_norm": 0.14764881134033203,
      "learning_rate": 0.00029995764763563235,
      "loss": 0.6941,
      "step": 50
    },
    {
      "epoch": 0.13212221304706853,
      "grad_norm": 0.11882930248975754,
      "learning_rate": 0.00029983061445883305,
      "loss": 0.673,
      "step": 60
    },
    {
      "epoch": 0.15414258188824662,
      "grad_norm": 0.15152081847190857,
      "learning_rate": 0.0002996189722050073,
      "loss": 0.6428,
      "step": 70
    },
    {
      "epoch": 0.17616295072942473,
      "grad_norm": 0.1619480848312378,
      "learning_rate": 0.0002993228403881531,
      "loss": 0.6465,
      "step": 80
    },
    {
      "epoch": 0.1981833195706028,
      "grad_norm": 0.15019242465496063,
      "learning_rate": 0.00029894238623337174,
      "loss": 0.6308,
      "step": 90
    },
    {
      "epoch": 0.2202036884117809,
      "grad_norm": 0.14553773403167725,
      "learning_rate": 0.00029847782458243663,
      "loss": 0.6314,
      "step": 100
    },
    {
      "epoch": 0.2202036884117809,
      "eval_accuracy": 1.0,
      "eval_f1": 1.0,
      "eval_f1_macro": 1.0,
      "eval_f1_micro": 1.0,
      "eval_loss": 0.6374139189720154,
      "eval_precision": 1.0,
      "eval_precision_macro": 1.0,
      "eval_precision_micro": 1.0,
      "eval_recall": 1.0,
      "eval_recall_macro": 1.0,
      "eval_recall_micro": 1.0,
      "eval_runtime": 1957.1676,
      "eval_samples_per_second": 0.413,
      "eval_steps_per_second": 0.206,
      "step": 100
    }
  ],
  "logging_steps": 10,
  "max_steps": 1362,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 100,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 4711855325184.0,
  "train_batch_size": 2,
  "trial_name": null,
  "trial_params": null
}