Hugging Face's logo

duyphu
/
39c5bac4-3825-43cf-8efe-d4938bf5fb83

PEFT
Safetensors
gemma
axolotl
Generated from Trainer
Model card Files Community
39c5bac4-3825-43cf-8efe-d4938bf5fb83
File size: 2,778 Bytes 
97fad18
 
 
f28ba3f
d894675
f28ba3f
97fad18
 
 
 
 
 
 
d894675
 
 
97fad18
d894675
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
c9761f9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f28ba3f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
97fad18
 
 
d894675
97fad18
 
d894675
97fad18
 
 
 
 
 
 
d894675
97fad18
 
 
 
f28ba3f
97fad18
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.02478157267672756,
  "eval_steps": 10,
  "global_step": 39,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0006354249404289118,
      "eval_loss": 1.934020757675171,
      "eval_runtime": 43.8595,
      "eval_samples_per_second": 15.116,
      "eval_steps_per_second": 7.57,
      "step": 1
    },
    {
      "epoch": 0.003177124702144559,
      "grad_norm": 1.8095368146896362,
      "learning_rate": 5e-05,
      "loss": 1.8793,
      "step": 5
    },
    {
      "epoch": 0.006354249404289118,
      "grad_norm": 1.734501838684082,
      "learning_rate": 0.0001,
      "loss": 1.6715,
      "step": 10
    },
    {
      "epoch": 0.006354249404289118,
      "eval_loss": 1.458052158355713,
      "eval_runtime": 44.1277,
      "eval_samples_per_second": 15.025,
      "eval_steps_per_second": 7.524,
      "step": 10
    },
    {
      "epoch": 0.009531374106433678,
      "grad_norm": 1.461950421333313,
      "learning_rate": 9.619397662556435e-05,
      "loss": 1.2896,
      "step": 15
    },
    {
      "epoch": 0.012708498808578236,
      "grad_norm": 1.1727732419967651,
      "learning_rate": 8.535533905932738e-05,
      "loss": 1.1019,
      "step": 20
    },
    {
      "epoch": 0.012708498808578236,
      "eval_loss": 1.1347953081130981,
      "eval_runtime": 44.1236,
      "eval_samples_per_second": 15.026,
      "eval_steps_per_second": 7.524,
      "step": 20
    },
    {
      "epoch": 0.015885623510722795,
      "grad_norm": 1.0558323860168457,
      "learning_rate": 6.91341716182545e-05,
      "loss": 0.9476,
      "step": 25
    },
    {
      "epoch": 0.019062748212867357,
      "grad_norm": 1.0646625757217407,
      "learning_rate": 5e-05,
      "loss": 1.015,
      "step": 30
    },
    {
      "epoch": 0.019062748212867357,
      "eval_loss": 1.0179016590118408,
      "eval_runtime": 44.1296,
      "eval_samples_per_second": 15.024,
      "eval_steps_per_second": 7.523,
      "step": 30
    },
    {
      "epoch": 0.022239872915011914,
      "grad_norm": 1.02644681930542,
      "learning_rate": 3.086582838174551e-05,
      "loss": 0.8815,
      "step": 35
    }
  ],
  "logging_steps": 5,
  "max_steps": 50,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 13,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 3768979009044480.0,
  "train_batch_size": 2,
  "trial_name": null,
  "trial_params": null
}