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  1. README.md +15 -15
  2. checkpoint-1000/config.json +51 -0
  3. checkpoint-1000/optimizer.pt +3 -0
  4. checkpoint-1000/pytorch_model.bin +3 -0
  5. checkpoint-1000/rng_state.pth +3 -0
  6. checkpoint-1000/scheduler.pt +3 -0
  7. checkpoint-1000/trainer_state.json +44 -0
  8. checkpoint-1000/training_args.bin +3 -0
  9. checkpoint-500/optimizer.pt +1 -1
  10. checkpoint-500/pytorch_model.bin +1 -1
  11. checkpoint-500/rng_state.pth +1 -1
  12. checkpoint-500/scheduler.pt +1 -1
  13. checkpoint-500/trainer_state.json +13 -13
  14. checkpoint-500/training_args.bin +1 -1
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README.md CHANGED
@@ -3,24 +3,24 @@ license: apache-2.0
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  ---
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  ### Deprem NER Training Results
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- Threshold: 0.2
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  ```
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  precision recall f1-score support
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- Alakasiz 0.92 0.84 0.88 734
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- Barinma 0.91 0.76 0.83 207
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- Elektronik 0.74 0.73 0.73 130
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- Giysi 0.84 0.49 0.62 94
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- Kurtarma 0.85 0.80 0.82 362
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- Lojistik 0.85 0.46 0.59 112
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- Saglik 0.78 0.69 0.74 108
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- Su 0.72 0.42 0.53 78
19
- Yagma 0.68 0.42 0.52 31
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- Yemek 0.81 0.72 0.76 117
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- micro avg 0.86 0.74 0.80 1973
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- macro avg 0.81 0.63 0.70 1973
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- weighted avg 0.86 0.74 0.79 1973
25
- samples avg 0.82 0.78 0.79 1973
26
  ```
 
3
  ---
4
  ### Deprem NER Training Results
5
 
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+ Threshold: 0.1
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8
  ```
9
  precision recall f1-score support
10
 
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+ Alakasiz 0.92 0.87 0.89 734
12
+ Barinma 0.87 0.79 0.83 207
13
+ Elektronik 0.72 0.73 0.73 130
14
+ Giysi 0.84 0.66 0.74 94
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+ Kurtarma 0.84 0.80 0.82 362
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+ Lojistik 0.75 0.51 0.61 112
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+ Saglik 0.79 0.80 0.79 108
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+ Su 0.63 0.47 0.54 78
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+ Yagma 0.75 0.58 0.65 31
20
+ Yemek 0.80 0.77 0.79 117
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+ micro avg 0.85 0.78 0.81 1973
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+ macro avg 0.79 0.70 0.74 1973
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+ weighted avg 0.84 0.78 0.81 1973
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+ samples avg 0.84 0.82 0.82 1973
26
  ```
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