Model save

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- squad_v2
+model-index:
+- name: bert-base-uncased-finetuned-squad_v2
+  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-base-uncased-finetuned-squad_v2
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad_v2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7075
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.0593        | 1.0   | 8235  | 1.1296          |
+| 0.7736        | 2.0   | 16470 | 1.1290          |
+| 0.5682        | 3.0   | 24705 | 1.1725          |
+| 0.4124        | 4.0   | 32940 | 1.4632          |
+| 0.3137        | 5.0   | 41175 | 1.7075          |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 1.12.1
+- Datasets 2.14.5
+- Tokenizers 0.14.1

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