Hugging Face's logo

merit
/
Model_Ananas

PyTorch
Model card Files
xet
 Community
Model_Ananas
File size: 2,131 Bytes
6a71be4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 1.303820013999939,
  "epoch": 1.0,
  "global_step": 6230,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.08,
      "learning_rate": 9.598715890850723e-06,
      "loss": 1.528,
      "step": 500
    },
    {
      "epoch": 0.16,
      "learning_rate": 9.197431781701446e-06,
      "loss": 1.3696,
      "step": 1000
    },
    {
      "epoch": 0.24,
      "learning_rate": 8.796147672552167e-06,
      "loss": 1.2899,
      "step": 1500
    },
    {
      "epoch": 0.32,
      "learning_rate": 8.39486356340289e-06,
      "loss": 1.2996,
      "step": 2000
    },
    {
      "epoch": 0.4,
      "learning_rate": 7.993579454253612e-06,
      "loss": 1.2637,
      "step": 2500
    },
    {
      "epoch": 0.48,
      "learning_rate": 7.592295345104335e-06,
      "loss": 1.2596,
      "step": 3000
    },
    {
      "epoch": 0.56,
      "learning_rate": 7.191011235955056e-06,
      "loss": 1.2513,
      "step": 3500
    },
    {
      "epoch": 0.64,
      "learning_rate": 6.789727126805778e-06,
      "loss": 1.2211,
      "step": 4000
    },
    {
      "epoch": 0.72,
      "learning_rate": 6.3884430176565015e-06,
      "loss": 1.2108,
      "step": 4500
    },
    {
      "epoch": 0.8,
      "learning_rate": 5.987158908507223e-06,
      "loss": 1.1853,
      "step": 5000
    },
    {
      "epoch": 0.88,
      "learning_rate": 5.585874799357945e-06,
      "loss": 1.2138,
      "step": 5500
    },
    {
      "epoch": 0.96,
      "learning_rate": 5.1845906902086685e-06,
      "loss": 1.1879,
      "step": 6000
    },
    {
      "epoch": 1.0,
      "eval_gen_len": 18.758,
      "eval_loss": 1.303820013999939,
      "eval_rouge1": 38.7078,
      "eval_rouge2": 14.3583,
      "eval_rougeL": 32.2229,
      "eval_rougeLsum": 34.3647,
      "eval_runtime": 739.1192,
      "eval_samples_per_second": 2.029,
      "eval_steps_per_second": 1.015,
      "step": 6230
    }
  ],
  "max_steps": 12460,
  "num_train_epochs": 2,
  "total_flos": 1.48195611648e+16,
  "trial_name": null,
  "trial_params": null
}