Hugging Face's logo

Datasets:
dsinghvi
/
tinyayalidlog

Tasks:
Text Classification
Languages:
multilingual
Tags:
language-identification
unigram
tokenizer
tinyaya
License:
Dataset card Files
xet
 Community
dsinghvi commited on
Commit
e53f3b1
·
verified ·
1 Parent(s): c9b264b

Upload models/commonlid_50pct/training_summary.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. models/commonlid_50pct/training_summary.json +75 -0
models/commonlid_50pct/training_summary.json ADDED
@@ -0,0 +1,75 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "command": "train.py --corpus-dir data/cl50_group_6 --initial-vocab /workspace/hf_home/hub/models--CohereLabs--tiny-aya-global/snapshots/b2f40192d990d66a6f28a4b90d72817ab9c613da/tokenizer.json --per-lang-counts-method soft --em-iterations 10 --results-dir results_commonlid_50pct --lang-batch-size 10 --reuse-base",
3
+ "timestamp": "2026-03-24T07:30:59.527633+00:00",
4
+ "training_completed": true,
5
+ "source": {
6
+ "format": "corpus",
7
+ "path": "/workspace/runpod/tinyAyaLid/data/cl50_group_6",
8
+ "max_samples": null,
9
+ "total_samples": 31714,
10
+ "num_languages": 7,
11
+ "samples_per_language": {
12
+ "arb": 21229,
13
+ "crh": 202,
14
+ "gcr": 55,
15
+ "jav": 828,
16
+ "nso": 49,
17
+ "swh": 8206,
18
+ "yor": 1145
19
+ }
20
+ },
21
+ "method": {
22
+ "vocab_size": 261000,
23
+ "base_training_method": "hf",
24
+ "per_lang_counts_method": "soft",
25
+ "byte_level": true,
26
+ "seed": 42,
27
+ "initial_vocab": "/workspace/hf_home/hub/models--CohereLabs--tiny-aya-global/snapshots/b2f40192d990d66a6f28a4b90d72817ab9c613da/tokenizer.json",
28
+ "lang_batch_size": 10,
29
+ "sampling": {
30
+ "mode": "base_only",
31
+ "max_base_samples_per_lang": 10000,
32
+ "max_lang_samples_per_lang": null,
33
+ "shared_samples_per_lang": null
34
+ },
35
+ "reuse": {
36
+ "reuse_corpus": true,
37
+ "reuse_base": true,
38
+ "skip_existing_langs": true
39
+ }
40
+ },
41
+ "timing": {
42
+ "total_seconds": 350.76,
43
+ "base_tokenizer_seconds": 0.0,
44
+ "language_tokenizers_seconds": 350.76,
45
+ "base_tokenizer_reused": true
46
+ },
47
+ "output": {
48
+ "results_dir": "/workspace/runpod/tinyAyaLid/results_commonlid_50pct",
49
+ "corpus_dir": "/workspace/runpod/tinyAyaLid/data/cl50_group_6",
50
+ "tokenizers_dir": "/workspace/runpod/tinyAyaLid/results_commonlid_50pct/tokenizers",
51
+ "base_tokenizer": "/workspace/runpod/tinyAyaLid/results_commonlid_50pct/tokenizers/langspec_base_tokenizer.json",
52
+ "num_languages_trained_this_run": 7,
53
+ "language_tokenizers": {
54
+ "base_path": "results_commonlid_50pct/tokenizers/langspec_base_tokenizer.json",
55
+ "language_paths": {
56
+ "arb": "results_commonlid_50pct/tokenizers/langspec_soft_arb.tokenizer.json",
57
+ "crh": "results_commonlid_50pct/tokenizers/langspec_soft_crh.tokenizer.json",
58
+ "gcr": "results_commonlid_50pct/tokenizers/langspec_soft_gcr.tokenizer.json",
59
+ "jav": "results_commonlid_50pct/tokenizers/langspec_soft_jav.tokenizer.json",
60
+ "nso": "results_commonlid_50pct/tokenizers/langspec_soft_nso.tokenizer.json",
61
+ "swh": "results_commonlid_50pct/tokenizers/langspec_soft_swh.tokenizer.json",
62
+ "yor": "results_commonlid_50pct/tokenizers/langspec_soft_yor.tokenizer.json"
63
+ }
64
+ }
65
+ },
66
+ "languages": [
67
+ "arb",
68
+ "crh",
69
+ "gcr",
70
+ "jav",
71
+ "nso",
72
+ "swh",
73
+ "yor"
74
+ ]
75
+ }