Hugging Face's logo

rizkyjun
/
bloom-1b-finetuned-aings-adapters-chat-3

PEFT
TensorBoard
Safetensors
Model card Files Metrics Community
bloom-1b-finetuned-aings-adapters-chat-3
File size: 2,916 Bytes 
4fd4142
92dab1a
 
 
4fd4142
92dab1a
4fd4142
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
48191bf
 
 
 
 
 
 
 
 
 
 
 
 
 
c322408
 
 
 
 
 
 
 
 
 
 
 
 
 
840af8f
 
 
 
 
 
 
 
 
 
 
 
 
 
909ef67
 
 
 
 
 
 
 
 
 
 
 
 
 
2062ea9
 
 
 
 
 
 
 
 
 
 
 
 
 
cd81604
 
 
 
 
 
 
 
 
 
 
 
 
 
92dab1a
 
 
 
 
 
 
 
 
 
 
 
 
 
4fd4142
 
 
 
 
 
92dab1a
4fd4142
 
 
 
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
 
{
  "best_metric": 2.506849527359009,
  "best_model_checkpoint": "./outputs/checkpoint-800",
  "epoch": 0.5828779599271403,
  "eval_steps": 100,
  "global_step": 800,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.07,
      "learning_rate": 0.0002,
      "loss": 2.8176,
      "step": 100
    },
    {
      "epoch": 0.07,
      "eval_loss": 2.7248005867004395,
      "eval_runtime": 204.526,
      "eval_samples_per_second": 30.676,
      "eval_steps_per_second": 3.838,
      "step": 100
    },
    {
      "epoch": 0.15,
      "learning_rate": 0.0002,
      "loss": 2.6959,
      "step": 200
    },
    {
      "epoch": 0.15,
      "eval_loss": 2.6743462085723877,
      "eval_runtime": 205.6888,
      "eval_samples_per_second": 30.502,
      "eval_steps_per_second": 3.816,
      "step": 200
    },
    {
      "epoch": 0.22,
      "learning_rate": 0.0002,
      "loss": 2.6512,
      "step": 300
    },
    {
      "epoch": 0.22,
      "eval_loss": 2.6400036811828613,
      "eval_runtime": 204.5763,
      "eval_samples_per_second": 30.668,
      "eval_steps_per_second": 3.837,
      "step": 300
    },
    {
      "epoch": 0.29,
      "learning_rate": 0.0002,
      "loss": 2.6241,
      "step": 400
    },
    {
      "epoch": 0.29,
      "eval_loss": 2.6055357456207275,
      "eval_runtime": 204.4295,
      "eval_samples_per_second": 30.69,
      "eval_steps_per_second": 3.84,
      "step": 400
    },
    {
      "epoch": 0.36,
      "learning_rate": 0.0002,
      "loss": 2.5812,
      "step": 500
    },
    {
      "epoch": 0.36,
      "eval_loss": 2.5787856578826904,
      "eval_runtime": 204.1968,
      "eval_samples_per_second": 30.725,
      "eval_steps_per_second": 3.844,
      "step": 500
    },
    {
      "epoch": 0.44,
      "learning_rate": 0.0002,
      "loss": 2.553,
      "step": 600
    },
    {
      "epoch": 0.44,
      "eval_loss": 2.552586555480957,
      "eval_runtime": 204.5367,
      "eval_samples_per_second": 30.674,
      "eval_steps_per_second": 3.838,
      "step": 600
    },
    {
      "epoch": 0.51,
      "learning_rate": 0.0002,
      "loss": 2.5368,
      "step": 700
    },
    {
      "epoch": 0.51,
      "eval_loss": 2.527393341064453,
      "eval_runtime": 204.8117,
      "eval_samples_per_second": 30.633,
      "eval_steps_per_second": 3.833,
      "step": 700
    },
    {
      "epoch": 0.58,
      "learning_rate": 0.0002,
      "loss": 2.5124,
      "step": 800
    },
    {
      "epoch": 0.58,
      "eval_loss": 2.506849527359009,
      "eval_runtime": 204.0454,
      "eval_samples_per_second": 30.748,
      "eval_steps_per_second": 3.847,
      "step": 800
    }
  ],
  "logging_steps": 100,
  "max_steps": 4116,
  "num_train_epochs": 3,
  "save_steps": 100,
  "total_flos": 2.277701378039808e+16,
  "trial_name": null,
  "trial_params": null
}