bif02 commited on
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bif02/pair_classifier

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README.md CHANGED
@@ -1,7 +1,11 @@
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  ---
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  library_name: transformers
 
 
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: classifier_t5
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  results: []
@@ -12,7 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # classifier_t5
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- This model was trained from scratch on an unknown dataset.
 
 
 
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 0
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: polynomial
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- - num_epochs: 1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  ---
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  library_name: transformers
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+ license: apache-2.0
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+ base_model: t5-base
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: classifier_t5
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  results: []
 
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  # classifier_t5
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+ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3982
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+ - Accuracy: 0.8104
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.001
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 0
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: polynomial
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+ - num_epochs: 8
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 453 | 0.5010 | 0.7267 |
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+ | 0.6294 | 2.0 | 906 | 0.4777 | 0.7368 |
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+ | 0.5164 | 3.0 | 1359 | 0.4693 | 0.7408 |
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+ | 0.5244 | 4.0 | 1812 | 0.4956 | 0.7267 |
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+ | 0.4941 | 5.0 | 2265 | 0.4455 | 0.7642 |
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+ | 0.4639 | 6.0 | 2718 | 0.4134 | 0.8091 |
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+ | 0.4617 | 7.0 | 3171 | 0.4029 | 0.8192 |
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+ | 0.4461 | 8.0 | 3624 | 0.3982 | 0.8104 |
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+
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  ### Framework versions
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config.json CHANGED
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  {
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  "architectures": [
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  "T5ForSequenceClassification"
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  ],
 
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  {
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  "architectures": [
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  "T5ForSequenceClassification"
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