End of training

README.md

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+---
+license: cc-by-4.0
+base_model: deepset/roberta-large-squad2
+tags:
+- generated_from_trainer
+model-index:
+- name: finetuned_roberta_large_custom
+  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. -->
+
+# finetuned_roberta_large_custom
+
+This model is a fine-tuned version of [deepset/roberta-large-squad2](https://huggingface.co/deepset/roberta-large-squad2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5061
+
+## 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: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.082         | 1.0   | 600  | 1.7062          |
+| 1.6404        | 2.0   | 1200 | 2.7324          |
+| 1.3663        | 3.0   | 1800 | 2.0644          |
+| 0.8431        | 4.0   | 2400 | 2.3039          |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.1

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