Hugging Face's logo

htlou
/
mm-interp-RLAIF-V_Coocur-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-RLAIF-V_Coocur-q0_25
File size: 4,615 Bytes 
8b0113d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 1.0978167057037354,
  "best_model_checkpoint": "./outputs/llava-mistral/RLAIF-V_Coocur-q0_25/checkpoint-100",
  "epoch": 1.3888888888888888,
  "eval_steps": 50,
  "global_step": 100,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.06944444444444445,
      "grad_norm": 28.445383103621488,
      "learning_rate": 5e-07,
      "loss": 1.692,
      "step": 5
    },
    {
      "epoch": 0.1388888888888889,
      "grad_norm": 15.214710637322117,
      "learning_rate": 1e-06,
      "loss": 1.5428,
      "step": 10
    },
    {
      "epoch": 0.20833333333333334,
      "grad_norm": 7.725515360957365,
      "learning_rate": 9.985471028179154e-07,
      "loss": 1.3232,
      "step": 15
    },
    {
      "epoch": 0.2777777777777778,
      "grad_norm": 5.771045580757361,
      "learning_rate": 9.94196854912548e-07,
      "loss": 1.2575,
      "step": 20
    },
    {
      "epoch": 0.3472222222222222,
      "grad_norm": 5.8072030206153045,
      "learning_rate": 9.869745381355905e-07,
      "loss": 1.2163,
      "step": 25
    },
    {
      "epoch": 0.4166666666666667,
      "grad_norm": 5.2740216973392755,
      "learning_rate": 9.769221256218162e-07,
      "loss": 1.1937,
      "step": 30
    },
    {
      "epoch": 0.4861111111111111,
      "grad_norm": 5.030592874663904,
      "learning_rate": 9.64098037858483e-07,
      "loss": 1.1473,
      "step": 35
    },
    {
      "epoch": 0.5555555555555556,
      "grad_norm": 4.82797980028618,
      "learning_rate": 9.485768031694871e-07,
      "loss": 1.1529,
      "step": 40
    },
    {
      "epoch": 0.625,
      "grad_norm": 5.01413477732448,
      "learning_rate": 9.304486245873971e-07,
      "loss": 1.1598,
      "step": 45
    },
    {
      "epoch": 0.6944444444444444,
      "grad_norm": 5.005624161351076,
      "learning_rate": 9.098188556305262e-07,
      "loss": 1.1343,
      "step": 50
    },
    {
      "epoch": 0.6944444444444444,
      "eval_loss": 1.1338481903076172,
      "eval_runtime": 35.4083,
      "eval_samples_per_second": 57.698,
      "eval_steps_per_second": 0.904,
      "step": 50
    },
    {
      "epoch": 0.7638888888888888,
      "grad_norm": 5.121349492890328,
      "learning_rate": 8.868073880316123e-07,
      "loss": 1.1465,
      "step": 55
    },
    {
      "epoch": 0.8333333333333334,
      "grad_norm": 4.967730285097845,
      "learning_rate": 8.615479549763755e-07,
      "loss": 1.1205,
      "step": 60
    },
    {
      "epoch": 0.9027777777777778,
      "grad_norm": 4.888543325436437,
      "learning_rate": 8.341873539012443e-07,
      "loss": 1.1101,
      "step": 65
    },
    {
      "epoch": 0.9722222222222222,
      "grad_norm": 5.136971847854665,
      "learning_rate": 8.048845933670271e-07,
      "loss": 1.1137,
      "step": 70
    },
    {
      "epoch": 1.0416666666666667,
      "grad_norm": 5.65186903458913,
      "learning_rate": 7.738099689665539e-07,
      "loss": 1.0344,
      "step": 75
    },
    {
      "epoch": 1.1111111111111112,
      "grad_norm": 5.436495818544836,
      "learning_rate": 7.41144073636728e-07,
      "loss": 0.9903,
      "step": 80
    },
    {
      "epoch": 1.1805555555555556,
      "grad_norm": 5.1217292921898485,
      "learning_rate": 7.070767481266492e-07,
      "loss": 0.976,
      "step": 85
    },
    {
      "epoch": 1.25,
      "grad_norm": 5.550754536917889,
      "learning_rate": 6.718059777212565e-07,
      "loss": 0.9731,
      "step": 90
    },
    {
      "epoch": 1.3194444444444444,
      "grad_norm": 5.3291194115834095,
      "learning_rate": 6.355367416322778e-07,
      "loss": 0.9687,
      "step": 95
    },
    {
      "epoch": 1.3888888888888888,
      "grad_norm": 5.187329472162837,
      "learning_rate": 5.984798217433531e-07,
      "loss": 0.9522,
      "step": 100
    },
    {
      "epoch": 1.3888888888888888,
      "eval_loss": 1.0978167057037354,
      "eval_runtime": 35.0302,
      "eval_samples_per_second": 58.321,
      "eval_steps_per_second": 0.913,
      "step": 100
    }
  ],
  "logging_steps": 5,
  "max_steps": 216,
  "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
}