Hugging Face's logo

robertellis-digica
/
videomae-base-finetuned-ucf101-subset

Video Classification
Transformers
TensorBoard
Safetensors
videomae
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
videomae-base-finetuned-ucf101-subset
File size: 5,036 Bytes 
f63e19b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
191
192
193
194
195
 
{
  "best_metric": 0.8428571428571429,
  "best_model_checkpoint": "videomae-base-finetuned-ucf101-subset/checkpoint-148",
  "epoch": 3.22972972972973,
  "eval_steps": 500,
  "global_step": 148,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.06756756756756757,
      "grad_norm": 8.218301773071289,
      "learning_rate": 3.3333333333333335e-05,
      "loss": 2.355,
      "step": 10
    },
    {
      "epoch": 0.13513513513513514,
      "grad_norm": 7.125568389892578,
      "learning_rate": 4.81203007518797e-05,
      "loss": 2.2296,
      "step": 20
    },
    {
      "epoch": 0.20270270270270271,
      "grad_norm": 7.601614475250244,
      "learning_rate": 4.43609022556391e-05,
      "loss": 2.1381,
      "step": 30
    },
    {
      "epoch": 0.25675675675675674,
      "eval_accuracy": 0.5428571428571428,
      "eval_loss": 1.8478083610534668,
      "eval_runtime": 29.2478,
      "eval_samples_per_second": 2.393,
      "eval_steps_per_second": 0.308,
      "step": 38
    },
    {
      "epoch": 1.0135135135135136,
      "grad_norm": 9.502254486083984,
      "learning_rate": 4.0601503759398494e-05,
      "loss": 1.9897,
      "step": 40
    },
    {
      "epoch": 1.0810810810810811,
      "grad_norm": 9.743173599243164,
      "learning_rate": 3.6842105263157895e-05,
      "loss": 1.6464,
      "step": 50
    },
    {
      "epoch": 1.1486486486486487,
      "grad_norm": 9.88233757019043,
      "learning_rate": 3.3082706766917295e-05,
      "loss": 1.3069,
      "step": 60
    },
    {
      "epoch": 1.2162162162162162,
      "grad_norm": 7.763911247253418,
      "learning_rate": 2.9323308270676693e-05,
      "loss": 0.9543,
      "step": 70
    },
    {
      "epoch": 1.2567567567567568,
      "eval_accuracy": 0.6571428571428571,
      "eval_loss": 0.9674364328384399,
      "eval_runtime": 29.3573,
      "eval_samples_per_second": 2.384,
      "eval_steps_per_second": 0.307,
      "step": 76
    },
    {
      "epoch": 2.027027027027027,
      "grad_norm": 8.281584739685059,
      "learning_rate": 2.556390977443609e-05,
      "loss": 0.8358,
      "step": 80
    },
    {
      "epoch": 2.0945945945945947,
      "grad_norm": 18.204240798950195,
      "learning_rate": 2.1804511278195487e-05,
      "loss": 0.6852,
      "step": 90
    },
    {
      "epoch": 2.1621621621621623,
      "grad_norm": 10.050329208374023,
      "learning_rate": 1.8045112781954888e-05,
      "loss": 0.6309,
      "step": 100
    },
    {
      "epoch": 2.22972972972973,
      "grad_norm": 4.531847953796387,
      "learning_rate": 1.4285714285714285e-05,
      "loss": 0.4914,
      "step": 110
    },
    {
      "epoch": 2.2567567567567566,
      "eval_accuracy": 0.7428571428571429,
      "eval_loss": 0.6266418695449829,
      "eval_runtime": 30.3275,
      "eval_samples_per_second": 2.308,
      "eval_steps_per_second": 0.297,
      "step": 114
    },
    {
      "epoch": 3.0405405405405403,
      "grad_norm": 3.251669406890869,
      "learning_rate": 1.0526315789473684e-05,
      "loss": 0.42,
      "step": 120
    },
    {
      "epoch": 3.108108108108108,
      "grad_norm": 3.1868138313293457,
      "learning_rate": 6.766917293233083e-06,
      "loss": 0.3493,
      "step": 130
    },
    {
      "epoch": 3.175675675675676,
      "grad_norm": 9.545303344726562,
      "learning_rate": 3.007518796992481e-06,
      "loss": 0.3415,
      "step": 140
    },
    {
      "epoch": 3.22972972972973,
      "eval_accuracy": 0.8428571428571429,
      "eval_loss": 0.4506227374076843,
      "eval_runtime": 30.195,
      "eval_samples_per_second": 2.318,
      "eval_steps_per_second": 0.298,
      "step": 148
    },
    {
      "epoch": 3.22972972972973,
      "step": 148,
      "total_flos": 1.460491890402263e+18,
      "train_loss": 1.1224354151132945,
      "train_runtime": 3980.8054,
      "train_samples_per_second": 0.297,
      "train_steps_per_second": 0.037
    },
    {
      "epoch": 3.22972972972973,
      "eval_accuracy": 0.9354838709677419,
      "eval_loss": 0.39373940229415894,
      "eval_runtime": 67.6876,
      "eval_samples_per_second": 2.29,
      "eval_steps_per_second": 0.295,
      "step": 148
    },
    {
      "epoch": 3.22972972972973,
      "eval_accuracy": 0.9354838709677419,
      "eval_loss": 0.3937394320964813,
      "eval_runtime": 67.6788,
      "eval_samples_per_second": 2.29,
      "eval_steps_per_second": 0.296,
      "step": 148
    }
  ],
  "logging_steps": 10,
  "max_steps": 148,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 9223372036854775807,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 1.460491890402263e+18,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}