Hugging Face's logo

kk-aivio
/
9b29c207-23bc-449a-8ab9-7593dd27d655

PEFT
Safetensors
gemma
axolotl
Generated from Trainer
Model card Files Community
9b29c207-23bc-449a-8ab9-7593dd27d655
File size: 3,200 Bytes 
76bd9a5
 
 
379ae90
76bd9a5
379ae90
76bd9a5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
97454a7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b3e82a5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
379ae90
 
 
 
 
 
 
76bd9a5
 
 
 
 
 
 
 
 
 
 
 
 
 
379ae90
76bd9a5
 
 
 
379ae90
76bd9a5
 
 
 
 
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": 0.0026481297583581596,
  "eval_steps": 3,
  "global_step": 10,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.000264812975835816,
      "grad_norm": 1.0843034982681274,
      "learning_rate": 2e-05,
      "loss": 1.2207,
      "step": 1
    },
    {
      "epoch": 0.000264812975835816,
      "eval_loss": 1.5418349504470825,
      "eval_runtime": 39.7224,
      "eval_samples_per_second": 40.028,
      "eval_steps_per_second": 20.014,
      "step": 1
    },
    {
      "epoch": 0.000529625951671632,
      "grad_norm": 1.033374547958374,
      "learning_rate": 4e-05,
      "loss": 1.3501,
      "step": 2
    },
    {
      "epoch": 0.0007944389275074479,
      "grad_norm": 1.3133691549301147,
      "learning_rate": 6e-05,
      "loss": 1.4165,
      "step": 3
    },
    {
      "epoch": 0.0007944389275074479,
      "eval_loss": 1.5384587049484253,
      "eval_runtime": 39.8393,
      "eval_samples_per_second": 39.91,
      "eval_steps_per_second": 19.955,
      "step": 3
    },
    {
      "epoch": 0.001059251903343264,
      "grad_norm": 1.2603070735931396,
      "learning_rate": 8e-05,
      "loss": 1.6498,
      "step": 4
    },
    {
      "epoch": 0.0013240648791790798,
      "grad_norm": 1.1261543035507202,
      "learning_rate": 0.0001,
      "loss": 1.3465,
      "step": 5
    },
    {
      "epoch": 0.0015888778550148957,
      "grad_norm": 1.2346397638320923,
      "learning_rate": 0.00012,
      "loss": 1.2569,
      "step": 6
    },
    {
      "epoch": 0.0015888778550148957,
      "eval_loss": 1.4900404214859009,
      "eval_runtime": 40.1043,
      "eval_samples_per_second": 39.647,
      "eval_steps_per_second": 19.823,
      "step": 6
    },
    {
      "epoch": 0.0018536908308507116,
      "grad_norm": 1.3048666715621948,
      "learning_rate": 0.00014,
      "loss": 1.5808,
      "step": 7
    },
    {
      "epoch": 0.002118503806686528,
      "grad_norm": 0.8697746992111206,
      "learning_rate": 0.00016,
      "loss": 1.2136,
      "step": 8
    },
    {
      "epoch": 0.0023833167825223437,
      "grad_norm": 0.9561617374420166,
      "learning_rate": 0.00018,
      "loss": 1.248,
      "step": 9
    },
    {
      "epoch": 0.0023833167825223437,
      "eval_loss": 1.3692142963409424,
      "eval_runtime": 40.223,
      "eval_samples_per_second": 39.53,
      "eval_steps_per_second": 19.765,
      "step": 9
    },
    {
      "epoch": 0.0026481297583581596,
      "grad_norm": 0.8304316401481628,
      "learning_rate": 0.0002,
      "loss": 0.9792,
      "step": 10
    }
  ],
  "logging_steps": 1,
  "max_steps": 10,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 3,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 893296972922880.0,
  "train_batch_size": 2,
  "trial_name": null,
  "trial_params": null
}