Hugging Face's logo

chauhoang
/
0d5df66a-fe13-409b-a177-c353c2baadb3

PEFT
Safetensors
gemma2
axolotl
Generated from Trainer
Model card Files Community
0d5df66a-fe13-409b-a177-c353c2baadb3
File size: 2,762 Bytes 
f443f54
 
 
3791db8
7601301
3791db8
f443f54
 
 
 
 
 
 
7601301
 
 
f443f54
7601301
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
932c83e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3791db8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
f443f54
 
 
7601301
f443f54
 
7601301
f443f54
 
 
 
 
 
 
7601301
f443f54
 
 
 
3791db8
f443f54
 
 
 
 
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": 0.14233576642335766,
  "eval_steps": 10,
  "global_step": 39,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0036496350364963502,
      "eval_loss": 2.616699695587158,
      "eval_runtime": 6.3179,
      "eval_samples_per_second": 18.361,
      "eval_steps_per_second": 9.18,
      "step": 1
    },
    {
      "epoch": 0.01824817518248175,
      "grad_norm": 1.6743769645690918,
      "learning_rate": 5e-05,
      "loss": 2.5534,
      "step": 5
    },
    {
      "epoch": 0.0364963503649635,
      "grad_norm": 1.8287861347198486,
      "learning_rate": 0.0001,
      "loss": 2.3519,
      "step": 10
    },
    {
      "epoch": 0.0364963503649635,
      "eval_loss": 2.002800464630127,
      "eval_runtime": 6.3103,
      "eval_samples_per_second": 18.383,
      "eval_steps_per_second": 9.191,
      "step": 10
    },
    {
      "epoch": 0.05474452554744526,
      "grad_norm": 2.0079925060272217,
      "learning_rate": 9.619397662556435e-05,
      "loss": 1.7359,
      "step": 15
    },
    {
      "epoch": 0.072992700729927,
      "grad_norm": 2.5511863231658936,
      "learning_rate": 8.535533905932738e-05,
      "loss": 1.1344,
      "step": 20
    },
    {
      "epoch": 0.072992700729927,
      "eval_loss": 0.8217958807945251,
      "eval_runtime": 6.4298,
      "eval_samples_per_second": 18.041,
      "eval_steps_per_second": 9.021,
      "step": 20
    },
    {
      "epoch": 0.09124087591240876,
      "grad_norm": 2.521385908126831,
      "learning_rate": 6.91341716182545e-05,
      "loss": 0.6589,
      "step": 25
    },
    {
      "epoch": 0.10948905109489052,
      "grad_norm": 2.6327896118164062,
      "learning_rate": 5e-05,
      "loss": 0.3088,
      "step": 30
    },
    {
      "epoch": 0.10948905109489052,
      "eval_loss": 0.17604775726795197,
      "eval_runtime": 6.5101,
      "eval_samples_per_second": 17.818,
      "eval_steps_per_second": 8.909,
      "step": 30
    },
    {
      "epoch": 0.12773722627737227,
      "grad_norm": 2.246385335922241,
      "learning_rate": 3.086582838174551e-05,
      "loss": 0.1334,
      "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": 1950379589763072.0,
  "train_batch_size": 2,
  "trial_name": null,
  "trial_params": null
}