Hugging Face's logo

philip-hightech
/
f29e87c0-366d-43c4-aa7f-b5415e8a531c

PEFT
Safetensors
gemma2
axolotl
Generated from Trainer
Model card Files Community
f29e87c0-366d-43c4-aa7f-b5415e8a531c
File size: 3,045 Bytes 
75a9191
 
 
50c407d
75a9191
50c407d
75a9191
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3ee30da
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
50c407d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
75a9191
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
50c407d
75a9191
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.0018837318821621056,
  "eval_steps": 3,
  "global_step": 9,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.00020930354246245618,
      "grad_norm": 1.836387276649475,
      "learning_rate": 2e-05,
      "loss": 2.5806,
      "step": 1
    },
    {
      "epoch": 0.00020930354246245618,
      "eval_loss": 2.6074929237365723,
      "eval_runtime": 74.4711,
      "eval_samples_per_second": 27.017,
      "eval_steps_per_second": 13.509,
      "step": 1
    },
    {
      "epoch": 0.00041860708492491236,
      "grad_norm": 1.9787160158157349,
      "learning_rate": 4e-05,
      "loss": 2.5943,
      "step": 2
    },
    {
      "epoch": 0.0006279106273873685,
      "grad_norm": 1.9100641012191772,
      "learning_rate": 6e-05,
      "loss": 2.5517,
      "step": 3
    },
    {
      "epoch": 0.0006279106273873685,
      "eval_loss": 2.589639902114868,
      "eval_runtime": 74.382,
      "eval_samples_per_second": 27.05,
      "eval_steps_per_second": 13.525,
      "step": 3
    },
    {
      "epoch": 0.0008372141698498247,
      "grad_norm": 1.9031531810760498,
      "learning_rate": 8e-05,
      "loss": 2.6434,
      "step": 4
    },
    {
      "epoch": 0.0010465177123122808,
      "grad_norm": 1.8470455408096313,
      "learning_rate": 0.0001,
      "loss": 2.6619,
      "step": 5
    },
    {
      "epoch": 0.001255821254774737,
      "grad_norm": 1.7614034414291382,
      "learning_rate": 0.00012,
      "loss": 2.4174,
      "step": 6
    },
    {
      "epoch": 0.001255821254774737,
      "eval_loss": 2.399675130844116,
      "eval_runtime": 74.5311,
      "eval_samples_per_second": 26.995,
      "eval_steps_per_second": 13.498,
      "step": 6
    },
    {
      "epoch": 0.0014651247972371933,
      "grad_norm": 1.3945518732070923,
      "learning_rate": 0.00014,
      "loss": 2.3177,
      "step": 7
    },
    {
      "epoch": 0.0016744283396996494,
      "grad_norm": 1.2308992147445679,
      "learning_rate": 0.00016,
      "loss": 2.2551,
      "step": 8
    },
    {
      "epoch": 0.0018837318821621056,
      "grad_norm": 1.1053471565246582,
      "learning_rate": 0.00018,
      "loss": 2.4466,
      "step": 9
    },
    {
      "epoch": 0.0018837318821621056,
      "eval_loss": 2.251810312271118,
      "eval_runtime": 74.4683,
      "eval_samples_per_second": 27.018,
      "eval_steps_per_second": 13.509,
      "step": 9
    }
  ],
  "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": false
      },
      "attributes": {}
    }
  },
  "total_flos": 787653295865856.0,
  "train_batch_size": 2,
  "trial_name": null,
  "trial_params": null
}