Hugging Face's logo

MJ-Bench
/
MJ-VIDEO-2B

Safetensors
internvl_chat
custom_code
Model card Files
xet
 Community
MJ-VIDEO-2B
File size: 2,909 Bytes
5d32c24
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 2.830188679245283,
  "eval_steps": 1,
  "global_step": 39,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.07547169811320754,
      "grad_norm": 111.0,
      "learning_rate": 6e-06,
      "loss": 1.6151,
      "step": 1
    },
    {
      "epoch": 0.22641509433962265,
      "grad_norm": 65.0,
      "learning_rate": 1.8e-05,
      "loss": 1.5894,
      "step": 3
    },
    {
      "epoch": 0.4528301886792453,
      "grad_norm": 286.0,
      "learning_rate": 2.9936012644425518e-05,
      "loss": 1.9202,
      "step": 6
    },
    {
      "epoch": 0.6792452830188679,
      "grad_norm": 175.0,
      "learning_rate": 2.8987083441065335e-05,
      "loss": 1.5979,
      "step": 9
    },
    {
      "epoch": 0.9056603773584906,
      "grad_norm": 89.5,
      "learning_rate": 2.6970258409203596e-05,
      "loss": 1.4915,
      "step": 12
    },
    {
      "epoch": 1.0754716981132075,
      "grad_norm": 128.0,
      "learning_rate": 2.4039519545688848e-05,
      "loss": 1.0238,
      "step": 15
    },
    {
      "epoch": 1.3018867924528301,
      "grad_norm": 96.5,
      "learning_rate": 2.0418624992807297e-05,
      "loss": 1.2875,
      "step": 18
    },
    {
      "epoch": 1.5283018867924527,
      "grad_norm": 122.0,
      "learning_rate": 1.638402539194953e-05,
      "loss": 1.1833,
      "step": 21
    },
    {
      "epoch": 1.7547169811320755,
      "grad_norm": 87.5,
      "learning_rate": 1.2243757232751444e-05,
      "loss": 1.1228,
      "step": 24
    },
    {
      "epoch": 1.9811320754716981,
      "grad_norm": 67.0,
      "learning_rate": 8.313924663351927e-06,
      "loss": 1.1144,
      "step": 27
    },
    {
      "epoch": 2.150943396226415,
      "grad_norm": 100.5,
      "learning_rate": 4.894565345301642e-06,
      "loss": 0.7711,
      "step": 30
    },
    {
      "epoch": 2.3773584905660377,
      "grad_norm": 60.25,
      "learning_rate": 2.2467429640557903e-06,
      "loss": 1.0037,
      "step": 33
    },
    {
      "epoch": 2.6037735849056602,
      "grad_norm": 67.5,
      "learning_rate": 5.726153524077144e-07,
      "loss": 1.0549,
      "step": 36
    },
    {
      "epoch": 2.830188679245283,
      "grad_norm": 50.75,
      "learning_rate": 0.0,
      "loss": 1.0016,
      "step": 39
    }
  ],
  "logging_steps": 3,
  "max_steps": 39,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": true,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 0.0,
  "train_batch_size": 1,
  "trial_name": null,
  "trial_params": null
}