Hugging Face's logo

jealk
/
llm2vec-en-da-mntp

Safetensors
llama
custom_code
Model card Files Community
llm2vec-en-da-mntp
File size: 3,431 Bytes 
8af096c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.23573785950023574,
  "eval_steps": 100,
  "global_step": 1000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.023573785950023574,
      "eval_accuracy": 0.6317716870477788,
      "eval_loss": 1.8646224737167358,
      "eval_runtime": 492.4929,
      "eval_samples_per_second": 15.507,
      "eval_steps_per_second": 0.485,
      "step": 100
    },
    {
      "epoch": 0.04714757190004715,
      "eval_accuracy": 0.7021049967171662,
      "eval_loss": 1.4454373121261597,
      "eval_runtime": 492.5577,
      "eval_samples_per_second": 15.505,
      "eval_steps_per_second": 0.485,
      "step": 200
    },
    {
      "epoch": 0.07072135785007072,
      "eval_accuracy": 0.7335578085807225,
      "eval_loss": 1.2683207988739014,
      "eval_runtime": 492.7056,
      "eval_samples_per_second": 15.5,
      "eval_steps_per_second": 0.485,
      "step": 300
    },
    {
      "epoch": 0.0942951438000943,
      "eval_accuracy": 0.7496352846832398,
      "eval_loss": 1.1724069118499756,
      "eval_runtime": 492.418,
      "eval_samples_per_second": 15.509,
      "eval_steps_per_second": 0.485,
      "step": 400
    },
    {
      "epoch": 0.11786892975011787,
      "grad_norm": 3.823148250579834,
      "learning_rate": 4.803551783749804e-05,
      "loss": 1.7013,
      "step": 500
    },
    {
      "epoch": 0.11786892975011787,
      "eval_accuracy": 0.7622726018519113,
      "eval_loss": 1.1071853637695312,
      "eval_runtime": 492.5647,
      "eval_samples_per_second": 15.505,
      "eval_steps_per_second": 0.485,
      "step": 500
    },
    {
      "epoch": 0.14144271570014144,
      "eval_accuracy": 0.7731863812800325,
      "eval_loss": 1.0427114963531494,
      "eval_runtime": 492.2995,
      "eval_samples_per_second": 15.513,
      "eval_steps_per_second": 0.485,
      "step": 600
    },
    {
      "epoch": 0.16501650165016502,
      "eval_accuracy": 0.7809848069202094,
      "eval_loss": 1.003616452217102,
      "eval_runtime": 492.5831,
      "eval_samples_per_second": 15.504,
      "eval_steps_per_second": 0.485,
      "step": 700
    },
    {
      "epoch": 0.1885902876001886,
      "eval_accuracy": 0.7868278015496704,
      "eval_loss": 0.9764024615287781,
      "eval_runtime": 492.4908,
      "eval_samples_per_second": 15.507,
      "eval_steps_per_second": 0.485,
      "step": 800
    },
    {
      "epoch": 0.21216407355021216,
      "eval_accuracy": 0.7921159020990164,
      "eval_loss": 0.94410640001297,
      "eval_runtime": 492.6567,
      "eval_samples_per_second": 15.502,
      "eval_steps_per_second": 0.485,
      "step": 900
    },
    {
      "epoch": 0.23573785950023574,
      "grad_norm": 2.0617034435272217,
      "learning_rate": 4.607103567499607e-05,
      "loss": 0.9942,
      "step": 1000
    },
    {
      "epoch": 0.23573785950023574,
      "eval_accuracy": 0.7963057274181528,
      "eval_loss": 0.9231188297271729,
      "eval_runtime": 492.777,
      "eval_samples_per_second": 15.498,
      "eval_steps_per_second": 0.485,
      "step": 1000
    }
  ],
  "logging_steps": 500,
  "max_steps": 12726,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 200,
  "total_flos": 7.41887283560448e+17,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}