update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: door_inner_with_SA-bert-base-uncased
+  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. -->
+
+# door_inner_with_SA-bert-base-uncased
+
+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: 2.1513
+
+## 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: 2e-05
+- train_batch_size: 6
+- eval_batch_size: 6
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 12
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.5492        | 1.0   | 96   | 2.3831          |
+| 2.4031        | 2.0   | 192  | 2.2963          |
+| 2.3391        | 3.0   | 288  | 2.2000          |
+| 2.2951        | 4.0   | 384  | 2.2505          |
+| 2.2151        | 5.0   | 480  | 2.1691          |
+| 2.2237        | 6.0   | 576  | 2.1855          |
+| 2.1984        | 7.0   | 672  | 2.2558          |
+| 2.1749        | 8.0   | 768  | 2.2019          |
+| 2.1475        | 9.0   | 864  | 2.1310          |
+| 2.1446        | 10.0  | 960  | 2.1334          |
+| 2.1374        | 11.0  | 1056 | 2.1909          |
+| 2.1117        | 12.0  | 1152 | 2.2028          |
+
+
+### Framework versions
+
+- Transformers 4.19.0
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.1
+- Tokenizers 0.12.1