Hugging Face's logo

kaitchup
/
Llama-2-7B-oasstguanaco-adapter

PEFT
Model card Files Community
4
Llama-2-7B-oasstguanaco-adapter
File size: 2,337 Bytes 
89201b3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.9993906154783668,
  "eval_steps": 100,
  "global_step": 615,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.16,
      "learning_rate": 0.0004,
      "loss": 1.3292,
      "step": 100
    },
    {
      "epoch": 0.16,
      "eval_loss": 1.264318823814392,
      "eval_runtime": 84.6316,
      "eval_samples_per_second": 6.121,
      "eval_steps_per_second": 1.536,
      "step": 100
    },
    {
      "epoch": 0.33,
      "learning_rate": 0.00036392754225221053,
      "loss": 1.2472,
      "step": 200
    },
    {
      "epoch": 0.33,
      "eval_loss": 1.2486543655395508,
      "eval_runtime": 84.6693,
      "eval_samples_per_second": 6.118,
      "eval_steps_per_second": 1.535,
      "step": 200
    },
    {
      "epoch": 0.49,
      "learning_rate": 0.00026872239108850267,
      "loss": 1.2331,
      "step": 300
    },
    {
      "epoch": 0.49,
      "eval_loss": 1.2404521703720093,
      "eval_runtime": 84.6623,
      "eval_samples_per_second": 6.118,
      "eval_steps_per_second": 1.536,
      "step": 300
    },
    {
      "epoch": 0.65,
      "learning_rate": 0.00014872738443612402,
      "loss": 1.2188,
      "step": 400
    },
    {
      "epoch": 0.65,
      "eval_loss": 1.2340422868728638,
      "eval_runtime": 84.6101,
      "eval_samples_per_second": 6.122,
      "eval_steps_per_second": 1.536,
      "step": 400
    },
    {
      "epoch": 0.81,
      "learning_rate": 4.722767036921105e-05,
      "loss": 1.2173,
      "step": 500
    },
    {
      "epoch": 0.81,
      "eval_loss": 1.2294026613235474,
      "eval_runtime": 84.6649,
      "eval_samples_per_second": 6.118,
      "eval_steps_per_second": 1.535,
      "step": 500
    },
    {
      "epoch": 0.98,
      "learning_rate": 8.366903586781493e-07,
      "loss": 1.2025,
      "step": 600
    },
    {
      "epoch": 0.98,
      "eval_loss": 1.2282078266143799,
      "eval_runtime": 84.629,
      "eval_samples_per_second": 6.121,
      "eval_steps_per_second": 1.536,
      "step": 600
    }
  ],
  "logging_steps": 100,
  "max_steps": 615,
  "num_train_epochs": 1,
  "save_steps": 100,
  "total_flos": 8.660077507682304e+16,
  "trial_name": null,
  "trial_params": null
}