Hugging Face's logo

grpvam
/
multitoken_ft_v2

PyTorch
gpt2
Model card Files
xet
 Community
multitoken_ft_v2
File size: 4,545 Bytes
cddc00e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
183
184
185
186
187
188
189
{
  "best_global_step": null,
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 11110,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0450070323488045,
      "grad_norm": 57.50090789794922,
      "learning_rate": 4.7754275427542756e-05,
      "loss": 4.3526,
      "step": 500
    },
    {
      "epoch": 0.090014064697609,
      "grad_norm": 33.234798431396484,
      "learning_rate": 4.55040504050405e-05,
      "loss": 1.6131,
      "step": 1000
    },
    {
      "epoch": 0.1350210970464135,
      "grad_norm": 40.48593521118164,
      "learning_rate": 4.325382538253826e-05,
      "loss": 1.3157,
      "step": 1500
    },
    {
      "epoch": 0.180028129395218,
      "grad_norm": 34.0600700378418,
      "learning_rate": 4.1003600360036004e-05,
      "loss": 1.1683,
      "step": 2000
    },
    {
      "epoch": 0.2250351617440225,
      "grad_norm": 11.524826049804688,
      "learning_rate": 3.875337533753375e-05,
      "loss": 1.0973,
      "step": 2500
    },
    {
      "epoch": 0.270042194092827,
      "grad_norm": 35.38045120239258,
      "learning_rate": 3.6503150315031505e-05,
      "loss": 1.0251,
      "step": 3000
    },
    {
      "epoch": 0.3150492264416315,
      "grad_norm": 13.695218086242676,
      "learning_rate": 3.425292529252925e-05,
      "loss": 0.958,
      "step": 3500
    },
    {
      "epoch": 0.360056258790436,
      "grad_norm": 14.775146484375,
      "learning_rate": 3.2002700270027e-05,
      "loss": 0.9002,
      "step": 4000
    },
    {
      "epoch": 0.4050632911392405,
      "grad_norm": 9.160333633422852,
      "learning_rate": 2.9752475247524754e-05,
      "loss": 0.8585,
      "step": 4500
    },
    {
      "epoch": 0.450070323488045,
      "grad_norm": 7.049114227294922,
      "learning_rate": 2.75022502250225e-05,
      "loss": 0.8319,
      "step": 5000
    },
    {
      "epoch": 0.49507735583684953,
      "grad_norm": 7.8238115310668945,
      "learning_rate": 2.525202520252025e-05,
      "loss": 0.8034,
      "step": 5500
    },
    {
      "epoch": 0.540084388185654,
      "grad_norm": 5.348775863647461,
      "learning_rate": 2.3001800180018002e-05,
      "loss": 0.7809,
      "step": 6000
    },
    {
      "epoch": 0.5850914205344585,
      "grad_norm": 8.474061012268066,
      "learning_rate": 2.0751575157515752e-05,
      "loss": 0.763,
      "step": 6500
    },
    {
      "epoch": 0.630098452883263,
      "grad_norm": 7.072192192077637,
      "learning_rate": 1.85013501350135e-05,
      "loss": 0.7535,
      "step": 7000
    },
    {
      "epoch": 0.6751054852320675,
      "grad_norm": 7.099096775054932,
      "learning_rate": 1.625112511251125e-05,
      "loss": 0.7386,
      "step": 7500
    },
    {
      "epoch": 0.720112517580872,
      "grad_norm": 6.223616600036621,
      "learning_rate": 1.4000900090009e-05,
      "loss": 0.73,
      "step": 8000
    },
    {
      "epoch": 0.7651195499296765,
      "grad_norm": 4.832330703735352,
      "learning_rate": 1.1750675067506751e-05,
      "loss": 0.7213,
      "step": 8500
    },
    {
      "epoch": 0.810126582278481,
      "grad_norm": 3.9546172618865967,
      "learning_rate": 9.500450045004502e-06,
      "loss": 0.7076,
      "step": 9000
    },
    {
      "epoch": 0.8551336146272855,
      "grad_norm": 3.895390510559082,
      "learning_rate": 7.250225022502251e-06,
      "loss": 0.7049,
      "step": 9500
    },
    {
      "epoch": 0.90014064697609,
      "grad_norm": 4.706455230712891,
      "learning_rate": 5e-06,
      "loss": 0.705,
      "step": 10000
    },
    {
      "epoch": 0.9451476793248945,
      "grad_norm": 3.554635524749756,
      "learning_rate": 2.7497749774977497e-06,
      "loss": 0.7032,
      "step": 10500
    },
    {
      "epoch": 0.9901547116736991,
      "grad_norm": 3.6398956775665283,
      "learning_rate": 4.995499549954995e-07,
      "loss": 0.6962,
      "step": 11000
    }
  ],
  "logging_steps": 500,
  "max_steps": 11110,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 99999999,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 0.0,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": null
}