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binary_every_exp

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djsull/binary_every_exp

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  1. README.md +9 -12
  2. model.safetensors +1 -1
  3. runs/Aug21_08-09-20_129-146-79-76/.nfs00000000000020de0000004e +0 -0
  4. runs/Aug22_06-08-11_129-146-79-76/events.out.tfevents.1724306892.129-146-79-76.1364396.2 +3 -0
  5. runs/Aug22_06-08-11_129-146-79-76/events.out.tfevents.1724306940.129-146-79-76.1364396.3 +3 -0
  6. runs/Aug22_06-09-07_129-146-79-76/events.out.tfevents.1724306947.129-146-79-76.1364396.4 +3 -0
  7. runs/Aug22_06-09-07_129-146-79-76/events.out.tfevents.1724306982.129-146-79-76.1364396.5 +3 -0
  8. 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 [klue/roberta-small](https://huggingface.co/klue/roberta-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0015
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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 | 9 | 0.0149 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 2.0 | 18 | 0.0043 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 3.0 | 27 | 0.0344 | 0.9444 | 1.0 | 0.9714 | 0.9808 |
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- | No log | 4.0 | 36 | 0.0042 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 5.0 | 45 | 0.0015 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 6.0 | 54 | 0.0016 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 7.0 | 63 | 0.0017 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 8.0 | 72 | 0.0016 | 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 [klue/roberta-small](https://huggingface.co/klue/roberta-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0033
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  - Precision: 1.0
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  - Recall: 1.0
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  - F1: 1.0
 
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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: 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 | 9 | 0.0378 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 2.0 | 18 | 0.0087 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 3.0 | 27 | 0.0052 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 4.0 | 36 | 0.0036 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 5.0 | 45 | 0.0033 | 1.0 | 1.0 | 1.0 | 1.0 |
 
 
 
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  ### Framework versions
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