Hugging Face's logo

cwaud
/
cd085b27-345c-43b2-bcb5-3d5f121e953f

PEFT
Safetensors
gemma
axolotl
Generated from Trainer
Model card Files Community
cd085b27-345c-43b2-bcb5-3d5f121e953f
File size: 3,175 Bytes 
13fa9ff
 
 
b1c7246
13fa9ff
b1c7246
13fa9ff
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
fa70e97
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8ace448
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b1c7246
 
 
 
 
 
 
13fa9ff
 
 
 
 
 
 
 
 
 
 
 
 
 
b1c7246
13fa9ff
 
 
 
b1c7246
13fa9ff
 
 
 
 
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": 0.015255530129672006,
  "eval_steps": 3,
  "global_step": 10,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0015255530129672007,
      "grad_norm": 3.5874860286712646,
      "learning_rate": 2e-05,
      "loss": 1.924,
      "step": 1
    },
    {
      "epoch": 0.0015255530129672007,
      "eval_loss": 3.1886789798736572,
      "eval_runtime": 48.1701,
      "eval_samples_per_second": 5.75,
      "eval_steps_per_second": 2.886,
      "step": 1
    },
    {
      "epoch": 0.0030511060259344014,
      "grad_norm": 4.946148872375488,
      "learning_rate": 4e-05,
      "loss": 3.4698,
      "step": 2
    },
    {
      "epoch": 0.004576659038901602,
      "grad_norm": 7.080003261566162,
      "learning_rate": 6e-05,
      "loss": 4.0679,
      "step": 3
    },
    {
      "epoch": 0.004576659038901602,
      "eval_loss": 3.142275810241699,
      "eval_runtime": 50.3607,
      "eval_samples_per_second": 5.5,
      "eval_steps_per_second": 2.76,
      "step": 3
    },
    {
      "epoch": 0.006102212051868803,
      "grad_norm": 4.932255744934082,
      "learning_rate": 8e-05,
      "loss": 3.0787,
      "step": 4
    },
    {
      "epoch": 0.007627765064836003,
      "grad_norm": 6.312702655792236,
      "learning_rate": 0.0001,
      "loss": 3.8769,
      "step": 5
    },
    {
      "epoch": 0.009153318077803204,
      "grad_norm": 7.200475215911865,
      "learning_rate": 0.00012,
      "loss": 3.5321,
      "step": 6
    },
    {
      "epoch": 0.009153318077803204,
      "eval_loss": 2.6806535720825195,
      "eval_runtime": 51.326,
      "eval_samples_per_second": 5.397,
      "eval_steps_per_second": 2.708,
      "step": 6
    },
    {
      "epoch": 0.010678871090770405,
      "grad_norm": 3.708185911178589,
      "learning_rate": 0.00014,
      "loss": 1.4473,
      "step": 7
    },
    {
      "epoch": 0.012204424103737605,
      "grad_norm": 4.481770038604736,
      "learning_rate": 0.00016,
      "loss": 1.8168,
      "step": 8
    },
    {
      "epoch": 0.013729977116704805,
      "grad_norm": 8.652414321899414,
      "learning_rate": 0.00018,
      "loss": 1.4997,
      "step": 9
    },
    {
      "epoch": 0.013729977116704805,
      "eval_loss": 2.371807336807251,
      "eval_runtime": 50.9338,
      "eval_samples_per_second": 5.438,
      "eval_steps_per_second": 2.729,
      "step": 9
    },
    {
      "epoch": 0.015255530129672006,
      "grad_norm": 15.314831733703613,
      "learning_rate": 0.0002,
      "loss": 1.8957,
      "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": 2245532414115840.0,
  "train_batch_size": 2,
  "trial_name": null,
  "trial_params": null
}