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Ketzu
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koelectra-sts-v0.6

Text Classification
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PyTorch
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electra
Generated from Trainer
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1
Ketzu commited on
Commit
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1 Parent(s): 7a58290

add model

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Files changed (8) hide show
  1. README.md +11 -11
  2. config.json +1 -1
  3. pytorch_model.bin +1 -1
  4. runs/Mar22_11-18-44_DESKTOP-QEJTC97/1647944335.6131284/events.out.tfevents.1647944335.DESKTOP-QEJTC97.14156.1 +3 -0
  5. runs/Mar22_11-18-44_DESKTOP-QEJTC97/events.out.tfevents.1647944335.DESKTOP-QEJTC97.14156.0 +3 -0
  6. runs/Mar22_11-18-44_DESKTOP-QEJTC97/events.out.tfevents.1647955075.DESKTOP-QEJTC97.14156.2 +3 -0
  7. tokenizer_config.json +1 -1
  8. training_args.bin +1 -1
README.md CHANGED
@@ -12,7 +12,7 @@ model-index:
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  metrics:
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  - name: Spearmanr
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  type: spearmanr
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- value: 0.8728969637834377
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -22,9 +22,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0008
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- - Pearson: 0.9999
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- - Spearmanr: 0.8729
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  ## Model description
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@@ -53,13 +53,13 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
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- |:-------------:|:-----:|:------:|:---------------:|:-------:|:---------:|
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- | 0.0285 | 1.0 | 25000 | 0.0040 | 0.9992 | 0.8727 |
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- | 0.0193 | 2.0 | 50000 | 0.0119 | 0.9976 | 0.8722 |
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- | 0.0069 | 3.0 | 75000 | 0.0036 | 0.9993 | 0.8727 |
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- | 0.006 | 4.0 | 100000 | 0.0012 | 0.9998 | 0.8729 |
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- | 0.0034 | 5.0 | 125000 | 0.0008 | 0.9999 | 0.8729 |
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  ### Framework versions
 
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  metrics:
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  - name: Spearmanr
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  type: spearmanr
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+ value: 0.8698381401893762
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  ---
17
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
22
 
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0059
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+ - Pearson: 0.9988
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+ - Spearmanr: 0.8698
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|:---------:|
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+ | 0.0036 | 1.0 | 6250 | 0.0082 | 0.9983 | 0.8698 |
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+ | 0.0038 | 2.0 | 12500 | 0.0065 | 0.9986 | 0.8697 |
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+ | 0.0105 | 3.0 | 18750 | 0.0071 | 0.9985 | 0.8698 |
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+ | 0.0008 | 4.0 | 25000 | 0.0059 | 0.9988 | 0.8698 |
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+ | 0.0008 | 5.0 | 31250 | 0.0059 | 0.9988 | 0.8698 |
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  ### Framework versions
config.json CHANGED
@@ -1,5 +1,5 @@
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  "architectures": [
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  "ElectraForSequenceClassification"
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  ],
 
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tokenizer_config.json CHANGED
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