Hugging Face's logo

PHJin
/
deepseek-coder-1.3b-dk-it

TensorBoard
Safetensors
llama
Model card Files
xet
 Metrics Community
deepseek-coder-1.3b-dk-it
File size: 2,779 Bytes
6880a03
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 2.4210526315789473,
  "eval_steps": 500,
  "global_step": 12,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.21052631578947367,
      "grad_norm": 6.0625,
      "learning_rate": 2.0000000000000003e-06,
      "loss": 0.538,
      "step": 1
    },
    {
      "epoch": 0.42105263157894735,
      "grad_norm": 6.15625,
      "learning_rate": 4.000000000000001e-06,
      "loss": 0.5346,
      "step": 2
    },
    {
      "epoch": 0.631578947368421,
      "grad_norm": 6.03125,
      "learning_rate": 6e-06,
      "loss": 0.5295,
      "step": 3
    },
    {
      "epoch": 0.8421052631578947,
      "grad_norm": 5.9375,
      "learning_rate": 8.000000000000001e-06,
      "loss": 0.5205,
      "step": 4
    },
    {
      "epoch": 1.0,
      "grad_norm": 5.1875,
      "learning_rate": 1e-05,
      "loss": 0.465,
      "step": 5
    },
    {
      "epoch": 1.2105263157894737,
      "grad_norm": 4.625,
      "learning_rate": 1.2e-05,
      "loss": 0.3812,
      "step": 6
    },
    {
      "epoch": 1.4210526315789473,
      "grad_norm": 3.453125,
      "learning_rate": 1.4e-05,
      "loss": 0.2928,
      "step": 7
    },
    {
      "epoch": 1.631578947368421,
      "grad_norm": 2.65625,
      "learning_rate": 1.6000000000000003e-05,
      "loss": 0.2065,
      "step": 8
    },
    {
      "epoch": 1.8421052631578947,
      "grad_norm": 2.125,
      "learning_rate": 1.8e-05,
      "loss": 0.1665,
      "step": 9
    },
    {
      "epoch": 2.0,
      "grad_norm": 1.5234375,
      "learning_rate": 2e-05,
      "loss": 0.1252,
      "step": 10
    },
    {
      "epoch": 2.2105263157894735,
      "grad_norm": 0.984375,
      "learning_rate": 1e-05,
      "loss": 0.0615,
      "step": 11
    },
    {
      "epoch": 2.4210526315789473,
      "grad_norm": 0.6875,
      "learning_rate": 0.0,
      "loss": 0.0366,
      "step": 12
    },
    {
      "epoch": 2.4210526315789473,
      "step": 12,
      "total_flos": 3104270972583936.0,
      "train_loss": 0.3214962125445406,
      "train_runtime": 430.3556,
      "train_samples_per_second": 2.091,
      "train_steps_per_second": 0.028
    }
  ],
  "logging_steps": 1.0,
  "max_steps": 12,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 100,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 3104270972583936.0,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": null
}