Hugging Face's logo

starwarindia
/
addrparser-iaparser

PEFT
Safetensors
address-parsing
finetuned
checkpoints
Model card Files
xet
Community
addrparser-iaparser
File size: 4,473 Bytes 
e1ac6ff
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
175
176
177
178
179
180
181
182
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.02773453886128917,
  "eval_steps": 1000,
  "global_step": 1000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0013867269430644586,
      "grad_norm": 1.8933687210083008,
      "learning_rate": 2.957486136783734e-06,
      "loss": 1.2241,
      "step": 50
    },
    {
      "epoch": 0.002773453886128917,
      "grad_norm": 0.7502820491790771,
      "learning_rate": 6.038200862600124e-06,
      "loss": 1.0267,
      "step": 100
    },
    {
      "epoch": 0.004160180829193376,
      "grad_norm": 0.5821689963340759,
      "learning_rate": 9.118915588416513e-06,
      "loss": 0.8167,
      "step": 150
    },
    {
      "epoch": 0.005546907772257834,
      "grad_norm": 0.5138927698135376,
      "learning_rate": 1.2199630314232902e-05,
      "loss": 0.6408,
      "step": 200
    },
    {
      "epoch": 0.006933634715322293,
      "grad_norm": 0.619263768196106,
      "learning_rate": 1.5280345040049293e-05,
      "loss": 0.5468,
      "step": 250
    },
    {
      "epoch": 0.008320361658386751,
      "grad_norm": 0.5078439712524414,
      "learning_rate": 1.836105976586568e-05,
      "loss": 0.4952,
      "step": 300
    },
    {
      "epoch": 0.00970708860145121,
      "grad_norm": 0.5653749108314514,
      "learning_rate": 2.144177449168207e-05,
      "loss": 0.4388,
      "step": 350
    },
    {
      "epoch": 0.011093815544515669,
      "grad_norm": 0.6189213991165161,
      "learning_rate": 2.452248921749846e-05,
      "loss": 0.4232,
      "step": 400
    },
    {
      "epoch": 0.012480542487580126,
      "grad_norm": 0.6082913875579834,
      "learning_rate": 2.760320394331485e-05,
      "loss": 0.401,
      "step": 450
    },
    {
      "epoch": 0.013867269430644586,
      "grad_norm": 0.6956301331520081,
      "learning_rate": 3.068391866913124e-05,
      "loss": 0.3895,
      "step": 500
    },
    {
      "epoch": 0.015253996373709043,
      "grad_norm": 0.7030412554740906,
      "learning_rate": 3.3764633394947633e-05,
      "loss": 0.3676,
      "step": 550
    },
    {
      "epoch": 0.016640723316773503,
      "grad_norm": 0.6779190897941589,
      "learning_rate": 3.684534812076402e-05,
      "loss": 0.3653,
      "step": 600
    },
    {
      "epoch": 0.01802745025983796,
      "grad_norm": 0.8930213451385498,
      "learning_rate": 3.992606284658041e-05,
      "loss": 0.3645,
      "step": 650
    },
    {
      "epoch": 0.01941417720290242,
      "grad_norm": 0.6423994302749634,
      "learning_rate": 4.30067775723968e-05,
      "loss": 0.3514,
      "step": 700
    },
    {
      "epoch": 0.02080090414596688,
      "grad_norm": 0.7728660106658936,
      "learning_rate": 4.608749229821319e-05,
      "loss": 0.3468,
      "step": 750
    },
    {
      "epoch": 0.022187631089031337,
      "grad_norm": 0.7561061978340149,
      "learning_rate": 4.916820702402958e-05,
      "loss": 0.3499,
      "step": 800
    },
    {
      "epoch": 0.023574358032095795,
      "grad_norm": 0.6163890957832336,
      "learning_rate": 5.224892174984597e-05,
      "loss": 0.3417,
      "step": 850
    },
    {
      "epoch": 0.024961084975160253,
      "grad_norm": 0.7334563732147217,
      "learning_rate": 5.532963647566236e-05,
      "loss": 0.3299,
      "step": 900
    },
    {
      "epoch": 0.026347811918224714,
      "grad_norm": 0.655237078666687,
      "learning_rate": 5.841035120147874e-05,
      "loss": 0.3306,
      "step": 950
    },
    {
      "epoch": 0.02773453886128917,
      "grad_norm": 0.8147113919258118,
      "learning_rate": 6.149106592729513e-05,
      "loss": 0.3281,
      "step": 1000
    },
    {
      "epoch": 0.02773453886128917,
      "eval_loss": 0.32194069027900696,
      "eval_runtime": 501.2457,
      "eval_samples_per_second": 5.7,
      "eval_steps_per_second": 5.7,
      "step": 1000
    }
  ],
  "logging_steps": 50,
  "max_steps": 108168,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 1000,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 1.802385752064e+16,
  "train_batch_size": 1,
  "trial_name": null,
  "trial_params": null
}