Hugging Face's logo

ardaspear
/
66221d9b-11b0-4c81-a224-cfc54ceeee5b

PEFT
Safetensors
llama
axolotl
Generated from Trainer
Model card Files Community
66221d9b-11b0-4c81-a224-cfc54ceeee5b
File size: 3,128 Bytes 
70e3e6d
 
 
cb85ba9
70e3e6d
cb85ba9
70e3e6d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b1ff7f9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
cb85ba9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
70e3e6d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
cb85ba9
70e3e6d
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.10121836925960637,
  "eval_steps": 9,
  "global_step": 27,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0037488284910965324,
      "eval_loss": 2.055473566055298,
      "eval_runtime": 12.7703,
      "eval_samples_per_second": 35.238,
      "eval_steps_per_second": 4.463,
      "step": 1
    },
    {
      "epoch": 0.011246485473289597,
      "grad_norm": 0.1467806100845337,
      "learning_rate": 1.5e-05,
      "loss": 1.9063,
      "step": 3
    },
    {
      "epoch": 0.022492970946579195,
      "grad_norm": 0.18374566733837128,
      "learning_rate": 3e-05,
      "loss": 1.9823,
      "step": 6
    },
    {
      "epoch": 0.033739456419868794,
      "grad_norm": 0.2081272304058075,
      "learning_rate": 4.5e-05,
      "loss": 2.1133,
      "step": 9
    },
    {
      "epoch": 0.033739456419868794,
      "eval_loss": 2.050758123397827,
      "eval_runtime": 12.8585,
      "eval_samples_per_second": 34.996,
      "eval_steps_per_second": 4.433,
      "step": 9
    },
    {
      "epoch": 0.04498594189315839,
      "grad_norm": 0.2559334337711334,
      "learning_rate": 4.993910125649561e-05,
      "loss": 2.0606,
      "step": 12
    },
    {
      "epoch": 0.056232427366447985,
      "grad_norm": 0.15697269141674042,
      "learning_rate": 4.962019382530521e-05,
      "loss": 2.0357,
      "step": 15
    },
    {
      "epoch": 0.06747891283973759,
      "grad_norm": 0.16153453290462494,
      "learning_rate": 4.9031542398457974e-05,
      "loss": 2.005,
      "step": 18
    },
    {
      "epoch": 0.06747891283973759,
      "eval_loss": 2.0186078548431396,
      "eval_runtime": 12.902,
      "eval_samples_per_second": 34.878,
      "eval_steps_per_second": 4.418,
      "step": 18
    },
    {
      "epoch": 0.07872539831302718,
      "grad_norm": 0.15399610996246338,
      "learning_rate": 4.817959636416969e-05,
      "loss": 1.9246,
      "step": 21
    },
    {
      "epoch": 0.08997188378631678,
      "grad_norm": 0.18686576187610626,
      "learning_rate": 4.707368982147318e-05,
      "loss": 1.9773,
      "step": 24
    },
    {
      "epoch": 0.10121836925960637,
      "grad_norm": 0.1838475912809372,
      "learning_rate": 4.572593931387604e-05,
      "loss": 2.0225,
      "step": 27
    },
    {
      "epoch": 0.10121836925960637,
      "eval_loss": 1.988869071006775,
      "eval_runtime": 12.9477,
      "eval_samples_per_second": 34.755,
      "eval_steps_per_second": 4.402,
      "step": 27
    }
  ],
  "logging_steps": 3,
  "max_steps": 100,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 9,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 8726412244549632.0,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}