update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: rule_learning_test
+  results: []
+---
+
+<!-- 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. -->
+
+# rule_learning_test
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1256
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 1000
+- total_train_batch_size: 8000
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.1764        | 0.32  | 20   | 0.2303          |
+| 0.145         | 0.64  | 40   | 0.1470          |
+| 0.129         | 0.96  | 60   | 0.1321          |
+| 0.1256        | 1.29  | 80   | 0.1265          |
+| 0.1304        | 1.61  | 100  | 0.1252          |
+| 0.1235        | 1.93  | 120  | 0.1260          |
+| 0.125         | 2.26  | 140  | 0.1261          |
+| 0.1263        | 2.58  | 160  | 0.1262          |
+| 0.1244        | 2.9   | 180  | 0.1256          |
+
+
+### Framework versions
+
+- Transformers 4.19.2
+- Pytorch 1.11.0
+- Datasets 2.2.1
+- Tokenizers 0.12.1