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Ketzu
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koelectra-sts-v0.5

Text Classification
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PyTorch
TensorBoard
electra
Generated from Trainer
Eval Results
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1
Ketzu commited on
Commit
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1 Parent(s): fbe9f48

add model

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Files changed (10) hide show
  1. README.md +11 -11
  2. config.json +1 -1
  3. pytorch_model.bin +1 -1
  4. runs/Mar19_19-49-17_DESKTOP-QEJTC97/1647715766.8664708/events.out.tfevents.1647715766.DESKTOP-QEJTC97.11116.1 +3 -0
  5. runs/Mar19_19-49-17_DESKTOP-QEJTC97/events.out.tfevents.1647715766.DESKTOP-QEJTC97.11116.0 +3 -0
  6. runs/Mar19_20-10-06_DESKTOP-QEJTC97/1647717016.9489727/events.out.tfevents.1647717016.DESKTOP-QEJTC97.15256.1 +3 -0
  7. runs/Mar19_20-10-06_DESKTOP-QEJTC97/events.out.tfevents.1647717016.DESKTOP-QEJTC97.15256.0 +3 -0
  8. runs/Mar19_20-10-06_DESKTOP-QEJTC97/events.out.tfevents.1647728371.DESKTOP-QEJTC97.15256.2 +3 -0
  9. tokenizer_config.json +1 -1
  10. 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: 0.853502703742937
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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: 0.1191
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- - Pearson: 0.9749
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- - Spearmanr: 0.8535
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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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- | 0.0312 | 1.0 | 625 | 0.1191 | 0.9749 | 0.8535 |
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- | 0.0204 | 2.0 | 1250 | 0.1191 | 0.9749 | 0.8535 |
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- | 0.0304 | 3.0 | 1875 | 0.1191 | 0.9749 | 0.8535 |
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- | 0.0274 | 4.0 | 2500 | 0.1191 | 0.9749 | 0.8535 |
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- | 0.0245 | 5.0 | 3125 | 0.1191 | 0.9749 | 0.8535 |
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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: 0.87026647480689
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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: 0.0213
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+ - Pearson: 0.9958
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+ - Spearmanr: 0.8703
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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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+ | 0.058 | 1.0 | 6250 | 0.0428 | 0.9915 | 0.8702 |
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+ | 0.0433 | 2.0 | 12500 | 0.0448 | 0.9911 | 0.8685 |
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+ | 0.0362 | 3.0 | 18750 | 0.0261 | 0.9950 | 0.8705 |
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+ | 0.0107 | 4.0 | 25000 | 0.0234 | 0.9953 | 0.8702 |
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+ | 0.0075 | 5.0 | 31250 | 0.0213 | 0.9958 | 0.8703 |
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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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