Hugging Face's logo

VERSIL91
/
a7d47daa-a7ea-4cfd-96f2-cabc83b43769

PEFT
Safetensors
mistral
axolotl
Generated from Trainer
Model card Files Community
a7d47daa-a7ea-4cfd-96f2-cabc83b43769
File size: 3,077 Bytes 
0964b9b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
133
134
135
136
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.03894839337877313,
  "eval_steps": 8,
  "global_step": 30,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0012982797792924375,
      "eval_loss": NaN,
      "eval_runtime": 107.629,
      "eval_samples_per_second": 13.565,
      "eval_steps_per_second": 4.525,
      "step": 1
    },
    {
      "epoch": 0.0038948393378773127,
      "grad_norm": NaN,
      "learning_rate": 8.999999999999999e-05,
      "loss": 0.0,
      "step": 3
    },
    {
      "epoch": 0.007789678675754625,
      "grad_norm": NaN,
      "learning_rate": 0.00017999999999999998,
      "loss": 0.0,
      "step": 6
    },
    {
      "epoch": 0.0103862382343395,
      "eval_loss": NaN,
      "eval_runtime": 107.3842,
      "eval_samples_per_second": 13.596,
      "eval_steps_per_second": 4.535,
      "step": 8
    },
    {
      "epoch": 0.011684518013631937,
      "grad_norm": NaN,
      "learning_rate": 0.00027,
      "loss": 0.0,
      "step": 9
    },
    {
      "epoch": 0.01557935735150925,
      "grad_norm": NaN,
      "learning_rate": 0.00029265847744427303,
      "loss": 0.0,
      "step": 12
    },
    {
      "epoch": 0.019474196689386564,
      "grad_norm": NaN,
      "learning_rate": 0.00025606601717798207,
      "loss": 0.0,
      "step": 15
    },
    {
      "epoch": 0.020772476468679,
      "eval_loss": NaN,
      "eval_runtime": 107.3747,
      "eval_samples_per_second": 13.597,
      "eval_steps_per_second": 4.536,
      "step": 16
    },
    {
      "epoch": 0.023369036027263874,
      "grad_norm": NaN,
      "learning_rate": 0.0001963525491562421,
      "loss": 0.0,
      "step": 18
    },
    {
      "epoch": 0.027263875365141188,
      "grad_norm": NaN,
      "learning_rate": 0.00012653483024396533,
      "loss": 0.0,
      "step": 21
    },
    {
      "epoch": 0.0311587147030185,
      "grad_norm": NaN,
      "learning_rate": 6.183221215612904e-05,
      "loss": 0.0,
      "step": 24
    },
    {
      "epoch": 0.0311587147030185,
      "eval_loss": NaN,
      "eval_runtime": 107.3537,
      "eval_samples_per_second": 13.6,
      "eval_steps_per_second": 4.536,
      "step": 24
    },
    {
      "epoch": 0.035053554040895815,
      "grad_norm": NaN,
      "learning_rate": 1.634902137174483e-05,
      "loss": 0.0,
      "step": 27
    },
    {
      "epoch": 0.03894839337877313,
      "grad_norm": NaN,
      "learning_rate": 0.0,
      "loss": 0.0,
      "step": 30
    }
  ],
  "logging_steps": 3,
  "max_steps": 30,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 10,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 4.746129551917056e+16,
  "train_batch_size": 3,
  "trial_name": null,
  "trial_params": null
}