Hugging Face's logo

htahir1
/
peft-lora-zencoder15B-A100-40GB

PEFT
Safetensors
Model card Files Community
peft-lora-zencoder15B-A100-40GB
File size: 2,521 Bytes 
fc4465d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.3,
  "eval_steps": 100,
  "global_step": 300,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.03,
      "learning_rate": 0.0001666666666666667,
      "loss": 0.8745,
      "step": 25
    },
    {
      "epoch": 0.05,
      "learning_rate": 0.00019979028262377118,
      "loss": 0.8093,
      "step": 50
    },
    {
      "epoch": 0.07,
      "learning_rate": 0.00019893981312363562,
      "loss": 0.7357,
      "step": 75
    },
    {
      "epoch": 0.1,
      "learning_rate": 0.00019744105246469263,
      "loss": 0.7535,
      "step": 100
    },
    {
      "epoch": 0.1,
      "eval_loss": 0.4003306031227112,
      "eval_runtime": 1.7839,
      "eval_samples_per_second": 2.242,
      "eval_steps_per_second": 0.561,
      "step": 100
    },
    {
      "epoch": 0.12,
      "learning_rate": 0.0001953038210948861,
      "loss": 0.7249,
      "step": 125
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.00019254212296427044,
      "loss": 0.7118,
      "step": 150
    },
    {
      "epoch": 0.17,
      "learning_rate": 0.00018917405376582145,
      "loss": 0.7467,
      "step": 175
    },
    {
      "epoch": 0.2,
      "learning_rate": 0.00018522168236559695,
      "loss": 0.6714,
      "step": 200
    },
    {
      "epoch": 0.2,
      "eval_loss": 0.3684937059879303,
      "eval_runtime": 1.7853,
      "eval_samples_per_second": 2.24,
      "eval_steps_per_second": 0.56,
      "step": 200
    },
    {
      "epoch": 0.23,
      "learning_rate": 0.00018071090619916093,
      "loss": 0.654,
      "step": 225
    },
    {
      "epoch": 0.25,
      "learning_rate": 0.00017567128158176953,
      "loss": 0.6392,
      "step": 250
    },
    {
      "epoch": 0.28,
      "learning_rate": 0.00017013583004418993,
      "loss": 0.5745,
      "step": 275
    },
    {
      "epoch": 0.3,
      "learning_rate": 0.000164140821963114,
      "loss": 0.5364,
      "step": 300
    },
    {
      "epoch": 0.3,
      "eval_loss": 0.3665352761745453,
      "eval_runtime": 1.7852,
      "eval_samples_per_second": 2.241,
      "eval_steps_per_second": 0.56,
      "step": 300
    }
  ],
  "logging_steps": 25,
  "max_steps": 1000,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 9223372036854775807,
  "save_steps": 100,
  "total_flos": 4.480521895673856e+17,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": null
}