Hugging Face's logo

Openledger
/
solidity_model_adapters

PEFT
Safetensors
llama-factory
lora
Generated from Trainer
Model card Files
xet
Community
solidity_model_adapters
File size: 4,249 Bytes 
3952560
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
172
173
174
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.24937655860349128,
  "eval_steps": 500,
  "global_step": 100,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.012468827930174564,
      "grad_norm": 0.0348743200302124,
      "learning_rate": 4.9995205016168205e-05,
      "loss": 0.4047,
      "step": 5
    },
    {
      "epoch": 0.02493765586034913,
      "grad_norm": 0.052354972809553146,
      "learning_rate": 4.998082190402241e-05,
      "loss": 0.3855,
      "step": 10
    },
    {
      "epoch": 0.03740648379052369,
      "grad_norm": 0.02390989102423191,
      "learning_rate": 4.995685618090584e-05,
      "loss": 0.3818,
      "step": 15
    },
    {
      "epoch": 0.04987531172069826,
      "grad_norm": 0.01846301183104515,
      "learning_rate": 4.9923317040038885e-05,
      "loss": 0.3884,
      "step": 20
    },
    {
      "epoch": 0.06234413965087282,
      "grad_norm": 0.018641460686922073,
      "learning_rate": 4.988021734699259e-05,
      "loss": 0.3713,
      "step": 25
    },
    {
      "epoch": 0.07481296758104738,
      "grad_norm": 0.016644474118947983,
      "learning_rate": 4.982757363475346e-05,
      "loss": 0.3492,
      "step": 30
    },
    {
      "epoch": 0.08728179551122195,
      "grad_norm": 0.01785973273217678,
      "learning_rate": 4.9765406097381426e-05,
      "loss": 0.3596,
      "step": 35
    },
    {
      "epoch": 0.09975062344139651,
      "grad_norm": 0.01776760071516037,
      "learning_rate": 4.96937385822634e-05,
      "loss": 0.3792,
      "step": 40
    },
    {
      "epoch": 0.11221945137157108,
      "grad_norm": 0.019663693383336067,
      "learning_rate": 4.96125985809655e-05,
      "loss": 0.3393,
      "step": 45
    },
    {
      "epoch": 0.12468827930174564,
      "grad_norm": 0.036602046340703964,
      "learning_rate": 4.952201721868727e-05,
      "loss": 0.3433,
      "step": 50
    },
    {
      "epoch": 0.1371571072319202,
      "grad_norm": 0.020088447257876396,
      "learning_rate": 4.94220292423221e-05,
      "loss": 0.3563,
      "step": 55
    },
    {
      "epoch": 0.14962593516209477,
      "grad_norm": 0.023927291855216026,
      "learning_rate": 4.9312673007128405e-05,
      "loss": 0.3543,
      "step": 60
    },
    {
      "epoch": 0.16209476309226933,
      "grad_norm": 0.023712489753961563,
      "learning_rate": 4.919399046201656e-05,
      "loss": 0.3442,
      "step": 65
    },
    {
      "epoch": 0.1745635910224439,
      "grad_norm": 0.02708962745964527,
      "learning_rate": 4.906602713345735e-05,
      "loss": 0.344,
      "step": 70
    },
    {
      "epoch": 0.18703241895261846,
      "grad_norm": 0.026062602177262306,
      "learning_rate": 4.8928832108018106e-05,
      "loss": 0.3426,
      "step": 75
    },
    {
      "epoch": 0.19950124688279303,
      "grad_norm": 0.025727244094014168,
      "learning_rate": 4.878245801353313e-05,
      "loss": 0.3677,
      "step": 80
    },
    {
      "epoch": 0.2119700748129676,
      "grad_norm": 0.03201605752110481,
      "learning_rate": 4.862696099891573e-05,
      "loss": 0.333,
      "step": 85
    },
    {
      "epoch": 0.22443890274314215,
      "grad_norm": 0.03317998722195625,
      "learning_rate": 4.846240071261959e-05,
      "loss": 0.3596,
      "step": 90
    },
    {
      "epoch": 0.23690773067331672,
      "grad_norm": 0.02743816375732422,
      "learning_rate": 4.828884027975768e-05,
      "loss": 0.3156,
      "step": 95
    },
    {
      "epoch": 0.24937655860349128,
      "grad_norm": 0.030033418908715248,
      "learning_rate": 4.810634627788756e-05,
      "loss": 0.3355,
      "step": 100
    }
  ],
  "logging_steps": 5,
  "max_steps": 802,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 2,
  "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": 7.842735695541043e+17,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": null
}