Hugging Face's logo

htlou
/
mm-interp-Align-Anything-L0-q0_25

Image-Text-to-Text
Transformers
Safetensors
llava_next
llama-factory
full
Generated from Trainer
conversational
text-generation-inference
Model card Files Community
mm-interp-Align-Anything-L0-q0_25
File size: 4,575 Bytes 
a46b2ce
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 1.146131805157593,
  "eval_steps": 50,
  "global_step": 100,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.05730659025787966,
      "grad_norm": 13.627805370893373,
      "learning_rate": 5e-07,
      "loss": 1.2695,
      "step": 5
    },
    {
      "epoch": 0.11461318051575932,
      "grad_norm": 8.516113291182938,
      "learning_rate": 1e-06,
      "loss": 1.1722,
      "step": 10
    },
    {
      "epoch": 0.17191977077363896,
      "grad_norm": 5.228917291507613,
      "learning_rate": 9.990212076323586e-07,
      "loss": 1.0671,
      "step": 15
    },
    {
      "epoch": 0.22922636103151864,
      "grad_norm": 3.994531672788626,
      "learning_rate": 9.9608866266743e-07,
      "loss": 1.0138,
      "step": 20
    },
    {
      "epoch": 0.28653295128939826,
      "grad_norm": 3.8970974428882528,
      "learning_rate": 9.912138465157323e-07,
      "loss": 1.0128,
      "step": 25
    },
    {
      "epoch": 0.3438395415472779,
      "grad_norm": 3.5838024972775804,
      "learning_rate": 9.84415844908637e-07,
      "loss": 0.9834,
      "step": 30
    },
    {
      "epoch": 0.40114613180515757,
      "grad_norm": 3.5452348908066513,
      "learning_rate": 9.757212731744973e-07,
      "loss": 0.9669,
      "step": 35
    },
    {
      "epoch": 0.4584527220630373,
      "grad_norm": 3.5843368374533697,
      "learning_rate": 9.65164172035126e-07,
      "loss": 0.9693,
      "step": 40
    },
    {
      "epoch": 0.5157593123209169,
      "grad_norm": 3.428042968685717,
      "learning_rate": 9.527858743306018e-07,
      "loss": 0.9532,
      "step": 45
    },
    {
      "epoch": 0.5730659025787965,
      "grad_norm": 3.4859824244397886,
      "learning_rate": 9.386348431941952e-07,
      "loss": 0.9473,
      "step": 50
    },
    {
      "epoch": 0.5730659025787965,
      "eval_loss": 0.9285200834274292,
      "eval_runtime": 42.6562,
      "eval_samples_per_second": 58.116,
      "eval_steps_per_second": 0.914,
      "step": 50
    },
    {
      "epoch": 0.6303724928366762,
      "grad_norm": 3.5547459569878144,
      "learning_rate": 9.227664823109882e-07,
      "loss": 0.9391,
      "step": 55
    },
    {
      "epoch": 0.6876790830945558,
      "grad_norm": 3.436701336864977,
      "learning_rate": 9.052429190030588e-07,
      "loss": 0.9422,
      "step": 60
    },
    {
      "epoch": 0.7449856733524355,
      "grad_norm": 3.503857788745808,
      "learning_rate": 8.861327609904857e-07,
      "loss": 0.943,
      "step": 65
    },
    {
      "epoch": 0.8022922636103151,
      "grad_norm": 3.58484631574656,
      "learning_rate": 8.655108277804975e-07,
      "loss": 0.9253,
      "step": 70
    },
    {
      "epoch": 0.8595988538681948,
      "grad_norm": 3.4761668389890055,
      "learning_rate": 8.434578577364217e-07,
      "loss": 0.9285,
      "step": 75
    },
    {
      "epoch": 0.9169054441260746,
      "grad_norm": 3.9387084351724977,
      "learning_rate": 8.200601919733105e-07,
      "loss": 0.8996,
      "step": 80
    },
    {
      "epoch": 0.9742120343839542,
      "grad_norm": 3.5121314302877518,
      "learning_rate": 7.954094363178421e-07,
      "loss": 0.895,
      "step": 85
    },
    {
      "epoch": 1.0315186246418337,
      "grad_norm": 4.367748237913567,
      "learning_rate": 7.696021026559849e-07,
      "loss": 0.8506,
      "step": 90
    },
    {
      "epoch": 1.0888252148997135,
      "grad_norm": 4.08819656393782,
      "learning_rate": 7.427392310726087e-07,
      "loss": 0.7965,
      "step": 95
    },
    {
      "epoch": 1.146131805157593,
      "grad_norm": 3.9211880538603254,
      "learning_rate": 7.149259942624286e-07,
      "loss": 0.7919,
      "step": 100
    },
    {
      "epoch": 1.146131805157593,
      "eval_loss": 0.887869119644165,
      "eval_runtime": 42.996,
      "eval_samples_per_second": 57.657,
      "eval_steps_per_second": 0.907,
      "step": 100
    }
  ],
  "logging_steps": 5,
  "max_steps": 261,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "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": 589411381149696.0,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}