update model card README.md

README.md

@@ -0,0 +1,67 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- cuad
+model-index:
+- name: bert-small-finetuned-cuad-longer
+  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. -->
+
+# bert-small-finetuned-cuad-longer
+
+This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the cuad dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0617
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.0601        | 1.0   | 8702  | 0.0404          |
+| 0.0551        | 2.0   | 17404 | 0.0394          |
+| 0.0428        | 3.0   | 26106 | 0.0481          |
+| 0.0375        | 4.0   | 34808 | 0.0425          |
+| 0.0403        | 5.0   | 43510 | 0.0551          |
+| 0.0246        | 6.0   | 52212 | 0.0588          |
+| 0.0284        | 7.0   | 60914 | 0.0557          |
+| 0.0303        | 8.0   | 69616 | 0.0543          |
+| 0.0239        | 9.0   | 78318 | 0.0634          |
+| 0.0207        | 10.0  | 87020 | 0.0617          |
+
+
+### Framework versions
+
+- Transformers 4.21.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1