Hugging Face's logo

Hemgg
/
kfold

Safetensors
videomae
Model card Files
xet
Community
kfold
File size: 3,099 Bytes 
b0806c4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 2.0,
  "eval_steps": 50,
  "global_step": 290,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.3448275862068966,
      "grad_norm": 6.0372772216796875,
      "learning_rate": 4.920557351506409e-05,
      "loss": 0.7,
      "step": 50
    },
    {
      "epoch": 0.3448275862068966,
      "eval_accuracy": 0.5342465753424658,
      "eval_loss": 0.6736854910850525,
      "eval_runtime": 102.9585,
      "eval_samples_per_second": 1.418,
      "eval_steps_per_second": 0.359,
      "step": 50
    },
    {
      "epoch": 0.6896551724137931,
      "grad_norm": 4.887221336364746,
      "learning_rate": 4.141282807014033e-05,
      "loss": 0.6474,
      "step": 100
    },
    {
      "epoch": 0.6896551724137931,
      "eval_accuracy": 0.6575342465753424,
      "eval_loss": 0.5182708501815796,
      "eval_runtime": 98.1281,
      "eval_samples_per_second": 1.488,
      "eval_steps_per_second": 0.377,
      "step": 100
    },
    {
      "epoch": 1.0344827586206897,
      "grad_norm": 25.287790298461914,
      "learning_rate": 2.7852503024450622e-05,
      "loss": 0.6736,
      "step": 150
    },
    {
      "epoch": 1.0344827586206897,
      "eval_accuracy": 0.6712328767123288,
      "eval_loss": 0.528748631477356,
      "eval_runtime": 99.358,
      "eval_samples_per_second": 1.469,
      "eval_steps_per_second": 0.372,
      "step": 150
    },
    {
      "epoch": 1.3793103448275863,
      "grad_norm": 3.4326326847076416,
      "learning_rate": 1.328978898250525e-05,
      "loss": 0.674,
      "step": 200
    },
    {
      "epoch": 1.3793103448275863,
      "eval_accuracy": 0.636986301369863,
      "eval_loss": 0.5545393824577332,
      "eval_runtime": 98.616,
      "eval_samples_per_second": 1.48,
      "eval_steps_per_second": 0.375,
      "step": 200
    },
    {
      "epoch": 1.7241379310344827,
      "grad_norm": 3.971996307373047,
      "learning_rate": 2.8421228711503127e-06,
      "loss": 0.5125,
      "step": 250
    },
    {
      "epoch": 1.7241379310344827,
      "eval_accuracy": 0.6506849315068494,
      "eval_loss": 0.6218694448471069,
      "eval_runtime": 95.8081,
      "eval_samples_per_second": 1.524,
      "eval_steps_per_second": 0.386,
      "step": 250
    }
  ],
  "logging_steps": 50,
  "max_steps": 290,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 2,
  "save_steps": 500,
  "stateful_callbacks": {
    "EarlyStoppingCallback": {
      "args": {
        "early_stopping_patience": 3,
        "early_stopping_threshold": 0.0
      },
      "attributes": {
        "early_stopping_patience_counter": 0
      }
    },
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 1.445434923787223e+18,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": null
}