File size: 4,478 Bytes
6f9e97e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
{
  "best_global_step": null,
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 6.0,
  "eval_steps": 500,
  "global_step": 5178,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.5793742757821553,
      "grad_norm": 19.770750045776367,
      "learning_rate": 1.8072614909231365e-05,
      "loss": 0.4165,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9061889250814332,
      "eval_f1": 0.6588856644028802,
      "eval_loss": 0.2571379244327545,
      "eval_model_preparation_time": 0.0035,
      "eval_runtime": 7.7488,
      "eval_samples_per_second": 198.095,
      "eval_steps_per_second": 12.389,
      "step": 863
    },
    {
      "epoch": 1.1587485515643106,
      "grad_norm": 12.198838233947754,
      "learning_rate": 1.6141367323290847e-05,
      "loss": 0.2695,
      "step": 1000
    },
    {
      "epoch": 1.7381228273464657,
      "grad_norm": 4.078156471252441,
      "learning_rate": 1.4210119737350329e-05,
      "loss": 0.2395,
      "step": 1500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9172638436482085,
      "eval_f1": 0.7743632259583444,
      "eval_loss": 0.27239134907722473,
      "eval_model_preparation_time": 0.0035,
      "eval_runtime": 7.6987,
      "eval_samples_per_second": 199.384,
      "eval_steps_per_second": 12.47,
      "step": 1726
    },
    {
      "epoch": 2.317497103128621,
      "grad_norm": 14.144125938415527,
      "learning_rate": 1.2278872151409811e-05,
      "loss": 0.2124,
      "step": 2000
    },
    {
      "epoch": 2.8968713789107765,
      "grad_norm": 10.107670783996582,
      "learning_rate": 1.0347624565469293e-05,
      "loss": 0.1963,
      "step": 2500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9081433224755701,
      "eval_f1": 0.7319603089698221,
      "eval_loss": 0.2672387659549713,
      "eval_model_preparation_time": 0.0035,
      "eval_runtime": 7.9308,
      "eval_samples_per_second": 193.549,
      "eval_steps_per_second": 12.105,
      "step": 2589
    },
    {
      "epoch": 3.4762456546929315,
      "grad_norm": 7.0400590896606445,
      "learning_rate": 8.416376979528776e-06,
      "loss": 0.1468,
      "step": 3000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.923127035830619,
      "eval_f1": 0.8001705663023119,
      "eval_loss": 0.29329150915145874,
      "eval_model_preparation_time": 0.0035,
      "eval_runtime": 7.7266,
      "eval_samples_per_second": 198.663,
      "eval_steps_per_second": 12.425,
      "step": 3452
    },
    {
      "epoch": 4.055619930475087,
      "grad_norm": 21.304224014282227,
      "learning_rate": 6.485129393588259e-06,
      "loss": 0.1611,
      "step": 3500
    },
    {
      "epoch": 4.634994206257242,
      "grad_norm": 0.21730026602745056,
      "learning_rate": 4.553881807647741e-06,
      "loss": 0.1149,
      "step": 4000
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9218241042345277,
      "eval_f1": 0.7887765788808786,
      "eval_loss": 0.3534080684185028,
      "eval_model_preparation_time": 0.0035,
      "eval_runtime": 4.1461,
      "eval_samples_per_second": 370.225,
      "eval_steps_per_second": 23.154,
      "step": 4315
    },
    {
      "epoch": 5.214368482039397,
      "grad_norm": 1.3788145780563354,
      "learning_rate": 2.622634221707223e-06,
      "loss": 0.0984,
      "step": 4500
    },
    {
      "epoch": 5.793742757821553,
      "grad_norm": 0.3194971978664398,
      "learning_rate": 6.913866357667054e-07,
      "loss": 0.0944,
      "step": 5000
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9179153094462541,
      "eval_f1": 0.7813271685158736,
      "eval_loss": 0.39636778831481934,
      "eval_model_preparation_time": 0.0035,
      "eval_runtime": 4.1457,
      "eval_samples_per_second": 370.259,
      "eval_steps_per_second": 23.156,
      "step": 5178
    }
  ],
  "logging_steps": 500,
  "max_steps": 5178,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 6,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 1.0898616579001344e+16,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": null
}