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entailedpolarity_-gpt2-a2b2l0.001

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README.md CHANGED
@@ -1,42 +1,81 @@
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  ---
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- language: en
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- license: mit
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- library_name: pytorch
 
 
 
 
 
 
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  ---
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- # Knowledge Continuity Regularized Network
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- Trainer Hyperparameters:
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- - `lr` = 1e-05
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- - `per_device_batch_size` = 8
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- - `gradient_accumulation_steps` = 2
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- - `weight_decay` = 1e-09
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- - `seed` = 42
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-
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- Regularization Hyperparameters
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- - `numerical stability denominator constant` = 0.01
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- - `lambda` = 0.001
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- - `alpha` = 2.0
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- - `beta` = 2.0
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-
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- Extended Logs:
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-
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- |eval_loss|eval_accuracy|epoch|
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- |--|--|--|
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- |8.842|0.208|1.0|
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- |8.834|0.208|2.0|
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- |7.990|0.292|3.0|
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- |4.612|0.750|4.0|
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- |8.841|0.208|5.0|
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- |8.842|0.208|6.0|
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- |8.843|0.208|7.0|
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- |8.842|0.208|8.0|
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- |8.845|0.208|9.0|
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- |8.842|0.208|10.0|
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- |8.843|0.208|11.0|
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- |8.843|0.208|12.0|
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- |8.843|0.208|13.0|
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- |8.841|0.208|14.0|
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- |8.843|0.208|15.0|
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- |8.843|0.208|16.0|
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- |8.843|0.208|17.0|
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- |8.845|0.208|18.0|
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- |8.843|0.208|19.0|
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - bigbench
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: entailedpolarity_-gpt2-a2b2l0.001
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+ results: []
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  ---
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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
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # entailedpolarity_-gpt2-a2b2l0.001
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+
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+ This model was trained from scratch on the bigbench dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 8.8419
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+ - Accuracy: 0.2083
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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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: 20
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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 | 6 | 8.8417 | 0.2083 |
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+ | No log | 2.0 | 12 | 8.8339 | 0.2083 |
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+ | No log | 3.0 | 18 | 7.9904 | 0.2917 |
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+ | No log | 4.0 | 24 | 4.6119 | 0.75 |
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+ | No log | 5.0 | 30 | 8.8414 | 0.2083 |
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+ | No log | 6.0 | 36 | 8.8424 | 0.2083 |
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+ | No log | 7.0 | 42 | 8.8427 | 0.2083 |
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+ | No log | 8.0 | 48 | 8.8417 | 0.2083 |
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+ | No log | 9.0 | 54 | 8.8450 | 0.2083 |
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+ | No log | 10.0 | 60 | 8.8422 | 0.2083 |
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+ | No log | 11.0 | 66 | 8.8429 | 0.2083 |
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+ | No log | 12.0 | 72 | 8.8432 | 0.2083 |
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+ | No log | 13.0 | 78 | 8.8430 | 0.2083 |
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+ | No log | 14.0 | 84 | 8.8415 | 0.2083 |
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+ | No log | 15.0 | 90 | 8.8431 | 0.2083 |
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+ | No log | 16.0 | 96 | 8.8425 | 0.2083 |
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+ | No log | 17.0 | 102 | 8.8431 | 0.2083 |
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+ | No log | 18.0 | 108 | 8.8454 | 0.2083 |
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+ | No log | 19.0 | 114 | 8.8430 | 0.2083 |
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+ | No log | 20.0 | 120 | 8.8419 | 0.2083 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.0
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+ - Pytorch 1.13.1+cu117
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.2
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