Hugging Face's logo

MaoXun
/
llava-lora-20-10-5-vicuna-7b-v1.3

PEFT
llava
Model card Files Community
2
llava-lora-20-10-5-vicuna-7b-v1.3
File size: 4,112 Bytes 
060d659
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 1.0,
  "global_step": 30,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.03,
      "learning_rate": 2e-05,
      "loss": 1.043,
      "step": 1
    },
    {
      "epoch": 0.07,
      "learning_rate": 1.9941379571543597e-05,
      "loss": 1.0156,
      "step": 2
    },
    {
      "epoch": 0.1,
      "learning_rate": 1.976620555710087e-05,
      "loss": 1.0234,
      "step": 3
    },
    {
      "epoch": 0.13,
      "learning_rate": 1.9476531711828027e-05,
      "loss": 0.959,
      "step": 4
    },
    {
      "epoch": 0.17,
      "learning_rate": 1.9075754196709574e-05,
      "loss": 0.8301,
      "step": 5
    },
    {
      "epoch": 0.2,
      "learning_rate": 1.8568571761675893e-05,
      "loss": 0.9688,
      "step": 6
    },
    {
      "epoch": 0.23,
      "learning_rate": 1.796093065705644e-05,
      "loss": 0.9766,
      "step": 7
    },
    {
      "epoch": 0.27,
      "learning_rate": 1.725995491923131e-05,
      "loss": 0.9648,
      "step": 8
    },
    {
      "epoch": 0.3,
      "learning_rate": 1.647386284781828e-05,
      "loss": 0.8242,
      "step": 9
    },
    {
      "epoch": 0.33,
      "learning_rate": 1.5611870653623826e-05,
      "loss": 0.9551,
      "step": 10
    },
    {
      "epoch": 0.37,
      "learning_rate": 1.4684084406997903e-05,
      "loss": 0.9336,
      "step": 11
    },
    {
      "epoch": 0.4,
      "learning_rate": 1.3701381553399147e-05,
      "loss": 0.9395,
      "step": 12
    },
    {
      "epoch": 0.43,
      "learning_rate": 1.2675283385292212e-05,
      "loss": 0.9629,
      "step": 13
    },
    {
      "epoch": 0.47,
      "learning_rate": 1.161781996552765e-05,
      "loss": 0.9258,
      "step": 14
    },
    {
      "epoch": 0.5,
      "learning_rate": 1.0541389085854177e-05,
      "loss": 0.9297,
      "step": 15
    },
    {
      "epoch": 0.53,
      "learning_rate": 9.458610914145826e-06,
      "loss": 0.9062,
      "step": 16
    },
    {
      "epoch": 0.57,
      "learning_rate": 8.382180034472353e-06,
      "loss": 0.9121,
      "step": 17
    },
    {
      "epoch": 0.6,
      "learning_rate": 7.324716614707794e-06,
      "loss": 0.9453,
      "step": 18
    },
    {
      "epoch": 0.63,
      "learning_rate": 6.298618446600856e-06,
      "loss": 0.9375,
      "step": 19
    },
    {
      "epoch": 0.67,
      "learning_rate": 5.3159155930021e-06,
      "loss": 0.9238,
      "step": 20
    },
    {
      "epoch": 0.7,
      "learning_rate": 4.388129346376177e-06,
      "loss": 0.877,
      "step": 21
    },
    {
      "epoch": 0.73,
      "learning_rate": 3.5261371521817247e-06,
      "loss": 0.8945,
      "step": 22
    },
    {
      "epoch": 0.77,
      "learning_rate": 2.740045080768694e-06,
      "loss": 0.9004,
      "step": 23
    },
    {
      "epoch": 0.8,
      "learning_rate": 2.0390693429435626e-06,
      "loss": 0.9102,
      "step": 24
    },
    {
      "epoch": 0.83,
      "learning_rate": 1.4314282383241097e-06,
      "loss": 0.877,
      "step": 25
    },
    {
      "epoch": 0.87,
      "learning_rate": 9.242458032904311e-07,
      "loss": 0.8867,
      "step": 26
    },
    {
      "epoch": 0.9,
      "learning_rate": 5.234682881719766e-07,
      "loss": 0.8848,
      "step": 27
    },
    {
      "epoch": 0.93,
      "learning_rate": 2.3379444289913344e-07,
      "loss": 0.8828,
      "step": 28
    },
    {
      "epoch": 0.97,
      "learning_rate": 5.862042845640403e-08,
      "loss": 0.9258,
      "step": 29
    },
    {
      "epoch": 1.0,
      "learning_rate": 0.0,
      "loss": 0.9492,
      "step": 30
    },
    {
      "epoch": 1.0,
      "step": 30,
      "total_flos": 9782320777134080.0,
      "train_loss": 0.9288411458333333,
      "train_runtime": 387.3517,
      "train_samples_per_second": 2.478,
      "train_steps_per_second": 0.077
    }
  ],
  "max_steps": 30,
  "num_train_epochs": 1,
  "total_flos": 9782320777134080.0,
  "trial_name": null,
  "trial_params": null
}