Hugging Face's logo

apwic
/
summarization-base-4

Text2Text Generation
Transformers
Safetensors
Indonesian
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
summarization-base-4
File size: 3,160 Bytes 
5f02480
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 17835,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 4.056117534637451,
      "learning_rate": 4e-05,
      "loss": 0.6327,
      "step": 3567
    },
    {
      "epoch": 1.0,
      "eval_gen_len": 1.0,
      "eval_loss": 0.4634159207344055,
      "eval_rouge1": 0.3795,
      "eval_rouge2": 0.0,
      "eval_rougeL": 0.3806,
      "eval_rougeLsum": 0.3802,
      "eval_runtime": 331.4212,
      "eval_samples_per_second": 2.254,
      "eval_steps_per_second": 0.284,
      "step": 3567
    },
    {
      "epoch": 2.0,
      "grad_norm": 3.9469492435455322,
      "learning_rate": 3e-05,
      "loss": 0.4349,
      "step": 7134
    },
    {
      "epoch": 2.0,
      "eval_gen_len": 1.0,
      "eval_loss": 0.45409438014030457,
      "eval_rouge1": 0.3596,
      "eval_rouge2": 0.0,
      "eval_rougeL": 0.3615,
      "eval_rougeLsum": 0.3631,
      "eval_runtime": 336.4749,
      "eval_samples_per_second": 2.22,
      "eval_steps_per_second": 0.279,
      "step": 7134
    },
    {
      "epoch": 3.0,
      "grad_norm": 2.7169110774993896,
      "learning_rate": 2e-05,
      "loss": 0.3376,
      "step": 10701
    },
    {
      "epoch": 3.0,
      "eval_gen_len": 1.0,
      "eval_loss": 0.4561801552772522,
      "eval_rouge1": 0.4121,
      "eval_rouge2": 0.0,
      "eval_rougeL": 0.4123,
      "eval_rougeLsum": 0.4116,
      "eval_runtime": 332.2435,
      "eval_samples_per_second": 2.248,
      "eval_steps_per_second": 0.283,
      "step": 10701
    },
    {
      "epoch": 4.0,
      "grad_norm": 5.345052719116211,
      "learning_rate": 1e-05,
      "loss": 0.2683,
      "step": 14268
    },
    {
      "epoch": 4.0,
      "eval_gen_len": 1.0,
      "eval_loss": 0.474356472492218,
      "eval_rouge1": 0.3886,
      "eval_rouge2": 0.0,
      "eval_rougeL": 0.3869,
      "eval_rougeLsum": 0.388,
      "eval_runtime": 329.9317,
      "eval_samples_per_second": 2.264,
      "eval_steps_per_second": 0.285,
      "step": 14268
    },
    {
      "epoch": 5.0,
      "grad_norm": 3.9704811573028564,
      "learning_rate": 0.0,
      "loss": 0.2208,
      "step": 17835
    },
    {
      "epoch": 5.0,
      "eval_gen_len": 1.0,
      "eval_loss": 0.4922512173652649,
      "eval_rouge1": 0.3905,
      "eval_rouge2": 0.0,
      "eval_rougeL": 0.3898,
      "eval_rougeLsum": 0.3916,
      "eval_runtime": 332.1945,
      "eval_samples_per_second": 2.249,
      "eval_steps_per_second": 0.283,
      "step": 17835
    },
    {
      "epoch": 5.0,
      "step": 17835,
      "total_flos": 6.557265830209536e+16,
      "train_loss": 0.37884998882989906,
      "train_runtime": 9312.1131,
      "train_samples_per_second": 7.66,
      "train_steps_per_second": 1.915
    }
  ],
  "logging_steps": 500,
  "max_steps": 17835,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "total_flos": 6.557265830209536e+16,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": null
}