End of training

README.md

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+---
+license: cc-by-4.0
+base_model: deepset/roberta-base-squad2
+tags:
+- generated_from_trainer
+model-index:
+- name: RobertaLr4e-6Wd0.03
+ 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. -->
+
+# RobertaLr4e-6Wd0.03
+
+This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5173
+
+## 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: 4e-06
+- 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: 12
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.4961 | 1.0 | 72 | 1.0920 |
+| 1.0065 | 2.0 | 144 | 0.7849 |
+| 0.6863 | 3.0 | 216 | 0.7007 |
+| 0.911 | 4.0 | 288 | 0.5794 |
+| 0.3684 | 5.0 | 360 | 0.5731 |
+| 0.0694 | 6.0 | 432 | 0.5524 |
+| 0.2925 | 7.0 | 504 | 0.5576 |
+| 0.578 | 8.0 | 576 | 0.5542 |
+| 0.0254 | 9.0 | 648 | 0.5094 |
+| 0.3163 | 10.0 | 720 | 0.5124 |
+| 0.0452 | 11.0 | 792 | 0.5200 |
+| 0.1349 | 12.0 | 864 | 0.5173 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.4.0
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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