diff --git a/README.md b/README.md
index 28844c534b7f56a418e57c833f526468d1ea4b93..3f749707e943d39a5a9c4ff6a2e9b0acf8f3fbb2 100644
--- a/README.md
+++ b/README.md
@@ -1,42 +1,81 @@
 ---
-language: en
-license: mit
-library_name: pytorch
+tags:
+- generated_from_trainer
+datasets:
+- bigbench
+metrics:
+- accuracy
+model-index:
+- name: entailedpolarity_-gpt2-a2b2l0.001
+  results: []
 ---
-# Knowledge Continuity Regularized Network
-Trainer Hyperparameters:
-- `lr` = 1e-05
-- `per_device_batch_size` = 8
-- `gradient_accumulation_steps` = 2
-- `weight_decay` = 1e-09
-- `seed` = 42
-
-Regularization Hyperparameters
-- `numerical stability denominator constant` = 0.01
-- `lambda` = 0.001
-- `alpha` = 2.0
-- `beta` = 2.0
-
-Extended Logs:
-
-|eval_loss|eval_accuracy|epoch|
-|--|--|--|
-|8.842|0.208|1.0|
-|8.834|0.208|2.0|
-|7.990|0.292|3.0|
-|4.612|0.750|4.0|
-|8.841|0.208|5.0|
-|8.842|0.208|6.0|
-|8.843|0.208|7.0|
-|8.842|0.208|8.0|
-|8.845|0.208|9.0|
-|8.842|0.208|10.0|
-|8.843|0.208|11.0|
-|8.843|0.208|12.0|
-|8.843|0.208|13.0|
-|8.841|0.208|14.0|
-|8.843|0.208|15.0|
-|8.843|0.208|16.0|
-|8.843|0.208|17.0|
-|8.845|0.208|18.0|
-|8.843|0.208|19.0|
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# entailedpolarity_-gpt2-a2b2l0.001
+
+This model was trained from scratch on the bigbench dataset.
+It achieves the following results on the evaluation set:
+- Loss: 8.8419
+- Accuracy: 0.2083
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 6    | 8.8417          | 0.2083   |
+| No log        | 2.0   | 12   | 8.8339          | 0.2083   |
+| No log        | 3.0   | 18   | 7.9904          | 0.2917   |
+| No log        | 4.0   | 24   | 4.6119          | 0.75     |
+| No log        | 5.0   | 30   | 8.8414          | 0.2083   |
+| No log        | 6.0   | 36   | 8.8424          | 0.2083   |
+| No log        | 7.0   | 42   | 8.8427          | 0.2083   |
+| No log        | 8.0   | 48   | 8.8417          | 0.2083   |
+| No log        | 9.0   | 54   | 8.8450          | 0.2083   |
+| No log        | 10.0  | 60   | 8.8422          | 0.2083   |
+| No log        | 11.0  | 66   | 8.8429          | 0.2083   |
+| No log        | 12.0  | 72   | 8.8432          | 0.2083   |
+| No log        | 13.0  | 78   | 8.8430          | 0.2083   |
+| No log        | 14.0  | 84   | 8.8415          | 0.2083   |
+| No log        | 15.0  | 90   | 8.8431          | 0.2083   |
+| No log        | 16.0  | 96   | 8.8425          | 0.2083   |
+| No log        | 17.0  | 102  | 8.8431          | 0.2083   |
+| No log        | 18.0  | 108  | 8.8454          | 0.2083   |
+| No log        | 19.0  | 114  | 8.8430          | 0.2083   |
+| No log        | 20.0  | 120  | 8.8419          | 0.2083   |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 1.13.1+cu117
+- Datasets 2.15.0
+- Tokenizers 0.15.2
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