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feat: 色々足してみる

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Files changed (19) hide show
  1. outputs/.gitignore +2 -0
  2. outputs/2025_03_18_16_54_46_hiho128/config.yml +18 -0
  3. outputs/2025_03_18_16_54_46_hiho128/events.out.tfevents.1742284487.wallaby.175721.0 +3 -0
  4. outputs/2025_03_18_16_54_46_hiho128/model-best-e7.pth +3 -0
  5. outputs/2025_03_18_16_54_46_hiho128/model-best-e8.pth +3 -0
  6. outputs/2025_03_18_16_54_46_hiho128/model-e10.pth +3 -0
  7. outputs/2025_03_18_16_54_46_hiho128/model-e5.pth +3 -0
  8. outputs/2025_03_18_16_54_46_hiho128/model-e6.pth +3 -0
  9. outputs/2025_03_18_16_54_46_hiho128/model-e9.pth +3 -0
  10. outputs/2025_03_18_16_54_46_hiho128/train_info.yml +2 -0
  11. outputs/2025_03_18_16_58_23_hiho256/config.yml +18 -0
  12. outputs/2025_03_18_16_58_23_hiho256/events.out.tfevents.1742284704.wallaby.176597.0 +3 -0
  13. outputs/2025_03_18_16_58_23_hiho256/model-best-e10.pth +3 -0
  14. outputs/2025_03_18_16_58_23_hiho256/model-best-e9.pth +3 -0
  15. outputs/2025_03_18_16_58_23_hiho256/model-e10.pth +3 -0
  16. outputs/2025_03_18_16_58_23_hiho256/model-e7.pth +3 -0
  17. outputs/2025_03_18_16_58_23_hiho256/model-e8.pth +3 -0
  18. outputs/2025_03_18_16_58_23_hiho256/model-e9.pth +3 -0
  19. outputs/2025_03_18_16_58_23_hiho256/train_info.yml +2 -0
outputs/.gitignore ADDED
@@ -0,0 +1,2 @@
 
 
 
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+ *
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+ !.gitignore
outputs/2025_03_18_16_54_46_hiho128/config.yml ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # 学習に使うデータ。
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+ train_data: ./vendor/hiho-deepseek.jsonl
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+ # 評価に使うデータ。
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+ eval_data: ./vendor/unidic_words.jsonl
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+ # 評価用データのうち、学習中に評価に使う単語の数。（eval.pyでは全てのデータを使います）
6
+ # nullの場合は全てのデータを使います。
7
+ eval_max_words: 100
8
+ # モデルの次元数。
9
+ dim: 128
10
+ # 学習するエポック数。
11
+ max_epochs: 10
12
+ # 保存するモデルの数。
13
+ num_models_to_keep: 2
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+ # num_last_models_to_keep: 2
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+ # num_best_models_to_keep: 2
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+ # 乱数のシード。
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+ seed: 1
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+
outputs/2025_03_18_16_54_46_hiho128/events.out.tfevents.1742284487.wallaby.175721.0 ADDED
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outputs/2025_03_18_16_54_46_hiho128/model-best-e7.pth ADDED
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outputs/2025_03_18_16_54_46_hiho128/train_info.yml ADDED
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+ use_cuda: true
outputs/2025_03_18_16_58_23_hiho256/config.yml ADDED
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+ # 学習に使うデータ。
2
+ train_data: ./vendor/hiho-deepseek.jsonl
3
+ # 評価に使うデータ。
4
+ eval_data: ./vendor/unidic_words.jsonl
5
+ # 評価用データのうち、学習中に評価に使う単語の数。（eval.pyでは全てのデータを使います）
6
+ # nullの場合は全てのデータを使います。
7
+ eval_max_words: 100
8
+ # モデルの次元数。
9
+ dim: 256
10
+ # 学習するエポック数。
11
+ max_epochs: 10
12
+ # 保存するモデルの数。
13
+ num_models_to_keep: 2
14
+ # num_last_models_to_keep: 2
15
+ # num_best_models_to_keep: 2
16
+ # 乱数のシード。
17
+ seed: 1
18
+
outputs/2025_03_18_16_58_23_hiho256/events.out.tfevents.1742284704.wallaby.176597.0 ADDED
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