Hugging Face's logo

laisalkk
/
indoBERT-caption

Safetensors
encoder-decoder
Model card Files
xet
Community
indoBERT-caption
File size: 4,585 Bytes 
14082aa
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.7734330296516418,
  "best_model_checkpoint": "/content/drive/MyDrive/Colab Notebooks/output_model_v2/checkpoint-1500",
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 1844,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.10845986984815618,
      "grad_norm": 6.970224857330322,
      "learning_rate": 1.8915401301518438e-05,
      "loss": 1.137,
      "step": 100
    },
    {
      "epoch": 0.21691973969631237,
      "grad_norm": 8.724026679992676,
      "learning_rate": 1.7830802603036878e-05,
      "loss": 0.9432,
      "step": 200
    },
    {
      "epoch": 0.32537960954446854,
      "grad_norm": 6.079078674316406,
      "learning_rate": 1.6746203904555314e-05,
      "loss": 0.9348,
      "step": 300
    },
    {
      "epoch": 0.43383947939262474,
      "grad_norm": 8.428298950195312,
      "learning_rate": 1.5661605206073754e-05,
      "loss": 0.9072,
      "step": 400
    },
    {
      "epoch": 0.5422993492407809,
      "grad_norm": 7.575742721557617,
      "learning_rate": 1.4577006507592192e-05,
      "loss": 0.8489,
      "step": 500
    },
    {
      "epoch": 0.5422993492407809,
      "eval_loss": 0.8244659900665283,
      "eval_runtime": 5.151,
      "eval_samples_per_second": 39.798,
      "eval_steps_per_second": 19.996,
      "step": 500
    },
    {
      "epoch": 0.6507592190889371,
      "grad_norm": 5.566123962402344,
      "learning_rate": 1.349240780911063e-05,
      "loss": 0.8225,
      "step": 600
    },
    {
      "epoch": 0.7592190889370932,
      "grad_norm": 7.571514129638672,
      "learning_rate": 1.2407809110629067e-05,
      "loss": 0.8286,
      "step": 700
    },
    {
      "epoch": 0.8676789587852495,
      "grad_norm": 8.96743106842041,
      "learning_rate": 1.1323210412147507e-05,
      "loss": 0.8177,
      "step": 800
    },
    {
      "epoch": 0.9761388286334056,
      "grad_norm": 8.147588729858398,
      "learning_rate": 1.0238611713665945e-05,
      "loss": 0.8136,
      "step": 900
    },
    {
      "epoch": 1.0845986984815619,
      "grad_norm": 6.813974380493164,
      "learning_rate": 9.154013015184382e-06,
      "loss": 0.5992,
      "step": 1000
    },
    {
      "epoch": 1.0845986984815619,
      "eval_loss": 0.7819855213165283,
      "eval_runtime": 5.1024,
      "eval_samples_per_second": 40.178,
      "eval_steps_per_second": 20.187,
      "step": 1000
    },
    {
      "epoch": 1.1930585683297181,
      "grad_norm": 10.001449584960938,
      "learning_rate": 8.06941431670282e-06,
      "loss": 0.5184,
      "step": 1100
    },
    {
      "epoch": 1.3015184381778742,
      "grad_norm": 8.078487396240234,
      "learning_rate": 6.984815618221259e-06,
      "loss": 0.5503,
      "step": 1200
    },
    {
      "epoch": 1.4099783080260304,
      "grad_norm": 8.292068481445312,
      "learning_rate": 5.900216919739696e-06,
      "loss": 0.5137,
      "step": 1300
    },
    {
      "epoch": 1.5184381778741867,
      "grad_norm": 8.094161033630371,
      "learning_rate": 4.815618221258135e-06,
      "loss": 0.5263,
      "step": 1400
    },
    {
      "epoch": 1.6268980477223427,
      "grad_norm": 7.674520492553711,
      "learning_rate": 3.7310195227765728e-06,
      "loss": 0.5207,
      "step": 1500
    },
    {
      "epoch": 1.6268980477223427,
      "eval_loss": 0.7734330296516418,
      "eval_runtime": 5.104,
      "eval_samples_per_second": 40.165,
      "eval_steps_per_second": 20.18,
      "step": 1500
    },
    {
      "epoch": 1.735357917570499,
      "grad_norm": 6.029451847076416,
      "learning_rate": 2.6464208242950113e-06,
      "loss": 0.4959,
      "step": 1600
    },
    {
      "epoch": 1.8438177874186552,
      "grad_norm": 6.463768482208252,
      "learning_rate": 1.561822125813449e-06,
      "loss": 0.494,
      "step": 1700
    },
    {
      "epoch": 1.9522776572668112,
      "grad_norm": 6.956821918487549,
      "learning_rate": 4.772234273318872e-07,
      "loss": 0.5281,
      "step": 1800
    }
  ],
  "logging_steps": 100,
  "max_steps": 1844,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 2,
  "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": 2262435467624448.0,
  "train_batch_size": 2,
  "trial_name": null,
  "trial_params": null
}