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binary_every_exp

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djsull/binary_every_exp

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  1. README.md +7 -10
  2. model.safetensors +1 -1
  3. runs/Aug26_09-30-54_129-146-79-76/events.out.tfevents.1724664654.129-146-79-76.3313311.0 +3 -0
  4. runs/Aug26_09-30-54_129-146-79-76/events.out.tfevents.1724664741.129-146-79-76.3313311.1 +3 -0
  5. runs/Aug28_09-39-24_129-146-79-76/events.out.tfevents.1724837964.129-146-79-76.3318656.0 +3 -0
  6. runs/Aug28_09-39-24_129-146-79-76/events.out.tfevents.1724838065.129-146-79-76.3318656.1 +3 -0
  7. runs/Aug29_05-24-53_129-146-79-76/events.out.tfevents.1724909093.129-146-79-76.3716961.0 +3 -0
  8. runs/Aug29_05-24-53_129-146-79-76/events.out.tfevents.1724909194.129-146-79-76.3716961.1 +3 -0
  9. runs/Aug29_05-53-38_129-146-79-76/events.out.tfevents.1724910818.129-146-79-76.3727809.0 +3 -0
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  11. runs/Aug29_06-05-03_129-146-79-76/events.out.tfevents.1724911504.129-146-79-76.3731869.0 +3 -0
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  13. runs/Sep02_09-03-36_129-146-79-76/events.out.tfevents.1725267816.129-146-79-76.29996.0 +3 -0
  14. runs/Sep02_09-03-36_129-146-79-76/events.out.tfevents.1725267884.129-146-79-76.29996.1 +3 -0
  15. training_args.bin +1 -1
README.md CHANGED
@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0025
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  - Precision: 1.0
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  - Recall: 1.0
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  - F1: 1.0
@@ -48,20 +48,17 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 8
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 19 | 0.1384 | 0.8889 | 1.0 | 0.9412 | 0.9571 |
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- | No log | 2.0 | 38 | 0.0203 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 3.0 | 57 | 0.0689 | 0.96 | 1.0 | 0.9796 | 0.9857 |
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- | No log | 4.0 | 76 | 0.0045 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 5.0 | 95 | 0.0617 | 0.96 | 1.0 | 0.9796 | 0.9857 |
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- | No log | 6.0 | 114 | 0.0038 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 7.0 | 133 | 0.0026 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 8.0 | 152 | 0.0025 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-base) on an unknown dataset.
21
  It achieves the following results on the evaluation set:
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+ - Loss: 0.0081
23
  - Precision: 1.0
24
  - Recall: 1.0
25
  - F1: 1.0
 
48
  - seed: 42
49
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 19 | 0.0709 | 0.96 | 1.0 | 0.9796 | 0.9857 |
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+ | No log | 2.0 | 38 | 0.0647 | 1.0 | 0.9583 | 0.9787 | 0.9857 |
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+ | No log | 3.0 | 57 | 0.0095 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 4.0 | 76 | 0.0166 | 1.0 | 0.9583 | 0.9787 | 0.9857 |
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+ | No log | 5.0 | 95 | 0.0081 | 1.0 | 1.0 | 1.0 | 1.0 |
 
 
 
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  ### Framework versions
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