Hugging Face's logo

duyphu
/
f7a58f6e-84f8-099a-cbe7-0bcfa79e4935

PEFT
Safetensors
gpt_neox
axolotl
Generated from Trainer
Model card Files Community
f7a58f6e-84f8-099a-cbe7-0bcfa79e4935
File size: 3,619 Bytes 
5794f81
 
 
19ec323
19dd430
19ec323
5794f81
 
 
 
 
 
 
19dd430
 
 
5794f81
19dd430
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a94854c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e0216be
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
19ec323
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5794f81
 
 
19dd430
5794f81
 
19dd430
5794f81
 
 
 
 
 
 
19ec323
5794f81
 
 
 
19ec323
5794f81
 
 
 
 
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
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.08019246190858059,
  "eval_steps": 10,
  "global_step": 50,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0016038492381716118,
      "eval_loss": NaN,
      "eval_runtime": 7.3742,
      "eval_samples_per_second": 35.665,
      "eval_steps_per_second": 17.9,
      "step": 1
    },
    {
      "epoch": 0.00801924619085806,
      "grad_norm": 55.09348678588867,
      "learning_rate": 5e-05,
      "loss": 11.4508,
      "step": 5
    },
    {
      "epoch": 0.01603849238171612,
      "grad_norm": 40.246456146240234,
      "learning_rate": 0.0001,
      "loss": 10.4514,
      "step": 10
    },
    {
      "epoch": 0.01603849238171612,
      "eval_loss": NaN,
      "eval_runtime": 5.4461,
      "eval_samples_per_second": 48.291,
      "eval_steps_per_second": 24.237,
      "step": 10
    },
    {
      "epoch": 0.024057738572574178,
      "grad_norm": 42.92169189453125,
      "learning_rate": 9.619397662556435e-05,
      "loss": 11.0683,
      "step": 15
    },
    {
      "epoch": 0.03207698476343224,
      "grad_norm": 44.35247802734375,
      "learning_rate": 8.535533905932738e-05,
      "loss": 10.8371,
      "step": 20
    },
    {
      "epoch": 0.03207698476343224,
      "eval_loss": NaN,
      "eval_runtime": 5.4284,
      "eval_samples_per_second": 48.449,
      "eval_steps_per_second": 24.316,
      "step": 20
    },
    {
      "epoch": 0.040096230954290296,
      "grad_norm": 37.52597427368164,
      "learning_rate": 6.91341716182545e-05,
      "loss": 10.8294,
      "step": 25
    },
    {
      "epoch": 0.048115477145148355,
      "grad_norm": 36.30201721191406,
      "learning_rate": 5e-05,
      "loss": 10.9661,
      "step": 30
    },
    {
      "epoch": 0.048115477145148355,
      "eval_loss": NaN,
      "eval_runtime": 5.3643,
      "eval_samples_per_second": 49.028,
      "eval_steps_per_second": 24.607,
      "step": 30
    },
    {
      "epoch": 0.056134723336006415,
      "grad_norm": 35.2260856628418,
      "learning_rate": 3.086582838174551e-05,
      "loss": 11.3404,
      "step": 35
    },
    {
      "epoch": 0.06415396952686447,
      "grad_norm": 40.70652770996094,
      "learning_rate": 1.4644660940672627e-05,
      "loss": 11.0508,
      "step": 40
    },
    {
      "epoch": 0.06415396952686447,
      "eval_loss": NaN,
      "eval_runtime": 5.5162,
      "eval_samples_per_second": 47.678,
      "eval_steps_per_second": 23.929,
      "step": 40
    },
    {
      "epoch": 0.07217321571772253,
      "grad_norm": 44.69584274291992,
      "learning_rate": 3.8060233744356633e-06,
      "loss": 10.269,
      "step": 45
    },
    {
      "epoch": 0.08019246190858059,
      "grad_norm": 63.653263092041016,
      "learning_rate": 0.0,
      "loss": 10.6362,
      "step": 50
    },
    {
      "epoch": 0.08019246190858059,
      "eval_loss": NaN,
      "eval_runtime": 5.3076,
      "eval_samples_per_second": 49.552,
      "eval_steps_per_second": 24.87,
      "step": 50
    }
  ],
  "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": true
      },
      "attributes": {}
    }
  },
  "total_flos": 449608899624960.0,
  "train_batch_size": 2,
  "trial_name": null,
  "trial_params": null
}