update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: K-12BERT-reward-neurallinguisticpioneers
+  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. -->
+
+# K-12BERT-reward-neurallinguisticpioneers
+
+This model is a fine-tuned version of [vasugoel/K-12BERT](https://huggingface.co/vasugoel/K-12BERT) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8042
+- Mse: 2.4037
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Mse    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 6.9483        | 1.0   | 8    | 2.1101          | 2.1330 |
+| 2.1313        | 2.0   | 16   | 2.0261          | 2.2824 |
+| 2.1958        | 3.0   | 24   | 1.8042          | 2.4037 |
+
+
+### Framework versions
+
+- Transformers 4.27.3
+- Pytorch 1.13.0+cu117
+- Datasets 2.12.0
+- Tokenizers 0.13.3