Hugging Face's logo

uzabase
/
LLM2Vec-Llama-2-7b-hf-mntp

PEFT
Safetensors
English
Japanese
Model card Files Community
LLM2Vec-Llama-2-7b-hf-mntp
File size: 3,962 Bytes 
b471491
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.2328830926874709,
  "eval_steps": 100,
  "global_step": 1000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.02328830926874709,
      "eval_accuracy": 0.6251894229623197,
      "eval_loss": 1.7397805452346802,
      "eval_runtime": 28.5721,
      "eval_samples_per_second": 20.335,
      "eval_steps_per_second": 0.35,
      "step": 100
    },
    {
      "epoch": 0.04657661853749418,
      "eval_accuracy": 0.7068097781429745,
      "eval_loss": 1.3044862747192383,
      "eval_runtime": 28.3133,
      "eval_samples_per_second": 20.52,
      "eval_steps_per_second": 0.353,
      "step": 200
    },
    {
      "epoch": 0.06986492780624126,
      "eval_accuracy": 0.7264728450848325,
      "eval_loss": 1.1957931518554688,
      "eval_runtime": 28.4954,
      "eval_samples_per_second": 20.389,
      "eval_steps_per_second": 0.351,
      "step": 300
    },
    {
      "epoch": 0.09315323707498836,
      "eval_accuracy": 0.7365680716597873,
      "eval_loss": 1.1367889642715454,
      "eval_runtime": 28.5011,
      "eval_samples_per_second": 20.385,
      "eval_steps_per_second": 0.351,
      "step": 400
    },
    {
      "epoch": 0.11644154634373545,
      "grad_norm": 1.4327788352966309,
      "learning_rate": 4.8059307560937745e-05,
      "loss": 1.6774,
      "step": 500
    },
    {
      "epoch": 0.11644154634373545,
      "eval_accuracy": 0.7479708350529647,
      "eval_loss": 1.0806397199630737,
      "eval_runtime": 28.3151,
      "eval_samples_per_second": 20.519,
      "eval_steps_per_second": 0.353,
      "step": 500
    },
    {
      "epoch": 0.13972985561248252,
      "eval_accuracy": 0.7532630012849124,
      "eval_loss": 1.0570966005325317,
      "eval_runtime": 28.5769,
      "eval_samples_per_second": 20.331,
      "eval_steps_per_second": 0.35,
      "step": 600
    },
    {
      "epoch": 0.1630181648812296,
      "eval_accuracy": 0.7630408550249957,
      "eval_loss": 1.014039397239685,
      "eval_runtime": 28.2978,
      "eval_samples_per_second": 20.532,
      "eval_steps_per_second": 0.353,
      "step": 700
    },
    {
      "epoch": 0.18630647414997673,
      "eval_accuracy": 0.7612289910578419,
      "eval_loss": 1.0060029029846191,
      "eval_runtime": 28.4993,
      "eval_samples_per_second": 20.386,
      "eval_steps_per_second": 0.351,
      "step": 800
    },
    {
      "epoch": 0.2095947834187238,
      "eval_accuracy": 0.7636095789509747,
      "eval_loss": 1.0050908327102661,
      "eval_runtime": 28.3321,
      "eval_samples_per_second": 20.507,
      "eval_steps_per_second": 0.353,
      "step": 900
    },
    {
      "epoch": 0.2328830926874709,
      "grad_norm": 1.2356228828430176,
      "learning_rate": 4.611861512187549e-05,
      "loss": 1.0452,
      "step": 1000
    },
    {
      "epoch": 0.2328830926874709,
      "eval_accuracy": 0.767719824719944,
      "eval_loss": 0.9805149435997009,
      "eval_runtime": 28.5332,
      "eval_samples_per_second": 20.362,
      "eval_steps_per_second": 0.35,
      "step": 1000
    },
    {
      "epoch": 0.2328830926874709,
      "step": 1000,
      "total_flos": 1.3069163715939533e+18,
      "train_loss": 1.361302978515625,
      "train_runtime": 10712.6155,
      "train_samples_per_second": 76.947,
      "train_steps_per_second": 1.203
    }
  ],
  "logging_steps": 500,
  "max_steps": 12882,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 200,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 1.3069163715939533e+18,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}