Hugging Face's logo

asmaa1
/
videomae-base-groub11-12-finetuned-SLT-subset

Video Classification
Transformers
PyTorch
videomae
Generated from Trainer
Inference Endpoints
Model card Files Community
videomae-base-groub11-12-finetuned-SLT-subset
File size: 5,395 Bytes 
83cfb4b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "_name_or_path": "MCG-NJU/videomae-base",
  "architectures": [
    "VideoMAEForVideoClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "decoder_hidden_size": 384,
  "decoder_intermediate_size": 1536,
  "decoder_num_attention_heads": 6,
  "decoder_num_hidden_layers": 4,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 768,
  "id2label": {
    "0": "\u0623\u062c\u0631\u0627\u0645 (\u0633\u0645\u0627\u0648\u064a\u0629)",
    "1": "\u0623\u062f\u0646\u0627\u0647",
    "2": "\u0623\u0633",
    "3": "\u0623\u0633\u0628\u0648\u0639",
    "4": "\u0625\u0628\u0644",
    "5": "\u0625\u062e\u0641\u0627\u0621",
    "6": "\u0625\u0631\u0634\u0627\u062f",
    "7": "\u0627\u0628\u0646",
    "8": "\u0627\u062a\u062e\u0627\u0630",
    "9": "\u0627\u062b\u064a\u0648\u0628\u064a\u0627",
    "10": "\u0627\u062d\u062a\u0628\u0627\u0633",
    "11": "\u0627\u0631\u0642",
    "12": "\u0627\u0633\u062a\u062d\u0648\u0627\u0630",
    "13": "\u0627\u0634\u0631\u0629 \u062e\u0636\u0631\u0627\u0621",
    "14": "\u0627\u0643\u0628\u0631 \u0645\u0646",
    "15": "\u0627\u0644\u0627\u062b\u0646\u064a\u0646",
    "16": "\u0627\u0644\u0627\u0648\u0644",
    "17": "\u0627\u0644\u062d\u0628 \u0648\u0627\u0644\u0639\u0627\u0637\u0641\u064a\u0629 - \u0627\u0644\u0631\u0648\u0645\u0627\u0646\u0633\u064a\u0629",
    "18": "\u0627\u0644\u062f\u0627\u0646\u0645\u0627\u0631\u0643",
    "19": "\u0627\u0644\u0633\u0648\u062f\u0627\u0646",
    "20": "\u0627\u0644\u0634\u0627\u0634\u0629",
    "21": "\u0627\u0644\u0637\u0627\u0628\u0639\u0629",
    "22": "\u0627\u0644\u0642\u0631\u0635 \u0627\u0644\u0645\u062f\u0645\u062c",
    "23": "\u0627\u0644\u0645\u062d\u064a\u0637 \u0627\u0644\u0627\u0637\u0644\u0633\u064a",
    "24": "\u0627\u0644\u0645\u062d\u064a\u0637 \u0627\u0644\u0645\u062a\u062c\u0645\u062f \u0627\u0644\u062c\u0646\u0648\u0628\u064a",
    "25": "\u0627\u0644\u0645\u0644\u0643 \u0633\u0644\u0645\u0627\u0646",
    "26": "\u0627\u0645\u064a\u0646 \u0639\u0627\u0645",
    "27": "\u0628\u062e\u0633 - \u0631\u062e\u064a\u0635",
    "28": "\u062c\u0631\u064a\u0621",
    "29": "\u062c\u0646\u062f\u064a",
    "30": "\u062e\u064a\u0627\u0637 - \u062a\u0627\u0631\u0632\u064a",
    "31": "\u0634\u0631\u0642",
    "32": "\u063a\u062f\u0627",
    "33": "\u0641\u0648\u0642",
    "34": "\u0645\u0630\u0647\u0648\u0644",
    "35": "\u0645\u0643\u0629 \u0627\u0644\u0645\u0643\u0631\u0645\u0629",
    "36": "\u0645\u0644\u064a\u062a\u0631 - \u0645\u0644",
    "37": "\u0646\u0627\u062f\u064a \u0627\u0644\u0642\u0644\u0639\u0629",
    "38": "\u0647\u0644 \u0623\u0646\u062a \u0628\u062e\u064a\u0631 \u061f",
    "39": "\u064a\u0633\u062a\u063a\u0631\u0628"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "\u0623\u062c\u0631\u0627\u0645 (\u0633\u0645\u0627\u0648\u064a\u0629)": 0,
    "\u0623\u062f\u0646\u0627\u0647": 1,
    "\u0623\u0633": 2,
    "\u0623\u0633\u0628\u0648\u0639": 3,
    "\u0625\u0628\u0644": 4,
    "\u0625\u062e\u0641\u0627\u0621": 5,
    "\u0625\u0631\u0634\u0627\u062f": 6,
    "\u0627\u0628\u0646": 7,
    "\u0627\u062a\u062e\u0627\u0630": 8,
    "\u0627\u062b\u064a\u0648\u0628\u064a\u0627": 9,
    "\u0627\u062d\u062a\u0628\u0627\u0633": 10,
    "\u0627\u0631\u0642": 11,
    "\u0627\u0633\u062a\u062d\u0648\u0627\u0630": 12,
    "\u0627\u0634\u0631\u0629 \u062e\u0636\u0631\u0627\u0621": 13,
    "\u0627\u0643\u0628\u0631 \u0645\u0646": 14,
    "\u0627\u0644\u0627\u062b\u0646\u064a\u0646": 15,
    "\u0627\u0644\u0627\u0648\u0644": 16,
    "\u0627\u0644\u062d\u0628 \u0648\u0627\u0644\u0639\u0627\u0637\u0641\u064a\u0629 - \u0627\u0644\u0631\u0648\u0645\u0627\u0646\u0633\u064a\u0629": 17,
    "\u0627\u0644\u062f\u0627\u0646\u0645\u0627\u0631\u0643": 18,
    "\u0627\u0644\u0633\u0648\u062f\u0627\u0646": 19,
    "\u0627\u0644\u0634\u0627\u0634\u0629": 20,
    "\u0627\u0644\u0637\u0627\u0628\u0639\u0629": 21,
    "\u0627\u0644\u0642\u0631\u0635 \u0627\u0644\u0645\u062f\u0645\u062c": 22,
    "\u0627\u0644\u0645\u062d\u064a\u0637 \u0627\u0644\u0627\u0637\u0644\u0633\u064a": 23,
    "\u0627\u0644\u0645\u062d\u064a\u0637 \u0627\u0644\u0645\u062a\u062c\u0645\u062f \u0627\u0644\u062c\u0646\u0648\u0628\u064a": 24,
    "\u0627\u0644\u0645\u0644\u0643 \u0633\u0644\u0645\u0627\u0646": 25,
    "\u0627\u0645\u064a\u0646 \u0639\u0627\u0645": 26,
    "\u0628\u062e\u0633 - \u0631\u062e\u064a\u0635": 27,
    "\u062c\u0631\u064a\u0621": 28,
    "\u062c\u0646\u062f\u064a": 29,
    "\u062e\u064a\u0627\u0637 - \u062a\u0627\u0631\u0632\u064a": 30,
    "\u0634\u0631\u0642": 31,
    "\u063a\u062f\u0627": 32,
    "\u0641\u0648\u0642": 33,
    "\u0645\u0630\u0647\u0648\u0644": 34,
    "\u0645\u0643\u0629 \u0627\u0644\u0645\u0643\u0631\u0645\u0629": 35,
    "\u0645\u0644\u064a\u062a\u0631 - \u0645\u0644": 36,
    "\u0646\u0627\u062f\u064a \u0627\u0644\u0642\u0644\u0639\u0629": 37,
    "\u0647\u0644 \u0623\u0646\u062a \u0628\u062e\u064a\u0631 \u061f": 38,
    "\u064a\u0633\u062a\u063a\u0631\u0628": 39
  },
  "layer_norm_eps": 1e-12,
  "model_type": "videomae",
  "norm_pix_loss": true,
  "num_attention_heads": 12,
  "num_channels": 3,
  "num_frames": 16,
  "num_hidden_layers": 12,
  "patch_size": 16,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "torch_dtype": "float32",
  "transformers_version": "4.33.0",
  "tubelet_size": 2,
  "use_mean_pooling": false
}