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
|
package main
import (
"errors"
"fmt"
"log"
"os"
"path/filepath"
"github.com/jonasknobloch/mbpe"
"go.jknobloc.com/x/dataset"
"go.jknobloc.com/x/profile"
"go.jknobloc.com/x/shelf"
"go.jknobloc.com/x/tokenizer/bpe"
"go.jknobloc.com/x/tokenizer/bpe/split"
)
func main() {
stop := profile.CPU()
// train()
// serialize()
profile.Mem()
stop()
}
func train() {
out := shelf.Abs("results/knobloch/minipile")
if err := os.MkdirAll(out, os.ModePerm); err != nil {
log.Fatal(err)
}
morfessor := func(alpha float64) mbpe.Segmenter {
m := mbpe.NewMorfessor(alpha)
if err := m.LoadModel(shelf.Abs("morfessor/semisup_model.proto")); err != nil {
log.Fatal(err)
}
return m
}
// mbpe.InvertWeightFunction = true
m000 := morfessor(0.0)
m010 := morfessor(0.1)
m020 := morfessor(0.2)
m030 := morfessor(0.3)
m040 := morfessor(0.4)
m050 := morfessor(0.5)
m060 := morfessor(0.6)
m070 := morfessor(0.7)
m080 := morfessor(0.8)
m090 := morfessor(0.9)
m100 := morfessor(1.0)
newTrainer := func(segmenter mbpe.Segmenter) *mbpe.MBPETrainer {
alphabet := make(map[string]struct{})
for _, r := range bpe.InitialAlphabet() {
alphabet[string(r)] = struct{}{}
}
b := mbpe.NewByteLevel(true)
b.SetMatcher(split.NewFSA())
return mbpe.NewMBPETrainer(b, segmenter, mbpe.NewMBPE(), 1<<17, alphabet)
}
trainers := []struct {
*mbpe.MBPETrainer
string
}{
{newTrainer(m000), "m000_minipile"},
{newTrainer(m010), "m010_minipile"},
{newTrainer(m020), "m020_minipile"},
{newTrainer(m030), "m030_minipile"},
{newTrainer(m040), "m040_minipile"},
{newTrainer(m050), "m050_minipile"},
{newTrainer(m060), "m060_minipile"},
{newTrainer(m070), "m070_minipile"},
{newTrainer(m080), "m080_minipile"},
{newTrainer(m090), "m090_minipile"},
{newTrainer(m100), "m100_minipile"},
}
for i, t := range trainers {
dict := filepath.Join(out, "dict.txt")
if dictErr := t.LoadDict(dict); dictErr != nil {
var reader dataset.Reader
if r, err := dataset.NewParquetReader(shelf.Abs("data/minipile/train")); err != nil {
log.Fatal(err)
} else {
reader = r
}
if err := t.InitDict(reader); err != nil {
log.Fatal(err)
}
if err := t.Dict().Save(dict); err != nil {
log.Fatal(err)
}
}
if i > 0 {
fmt.Println()
}
fmt.Printf("%s\n\n", t.string)
t.Train()
dir := filepath.Join(out, t.string)
if err := os.Mkdir(dir, 0755); err != nil && !errors.Is(err, os.ErrExist) {
log.Fatal(err)
}
if err := t.Model().Save(filepath.Join(dir, "vocab.json"), filepath.Join(dir, "merges.txt")); err != nil {
log.Fatal(err)
}
}
}
|
