update model card README.md

README.md

@@ -0,0 +1,65 @@
+---
+license: cc-by-4.0
+tags:
+- generated_from_trainer
+model-index:
+- name: questionAnswer3
+  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. -->
+
+# questionAnswer3
+
+This model is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co/deepset/bert-base-cased-squad2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.9120
+
+## 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: 0.002
+- train_batch_size: 128
+- eval_batch_size: 128
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 5.7468        | 1.0   | 3    | 3.9120          |
+| 4.019         | 2.0   | 6    | 3.9120          |
+| 3.9218        | 3.0   | 9    | 3.9120          |
+| 3.9304        | 4.0   | 12   | 3.9120          |
+| 3.9305        | 5.0   | 15   | 3.9120          |
+| 3.9224        | 6.0   | 18   | 3.9120          |
+| 3.9035        | 7.0   | 21   | 3.9120          |
+| 3.954         | 8.0   | 24   | 3.9120          |
+| 3.918         | 9.0   | 27   | 3.9120          |
+| 3.9013        | 10.0  | 30   | 3.9120          |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.0
+- Tokenizers 0.13.2