End of training

README.md

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+---
+license: cc-by-4.0
+base_model: kxx-kkk/FYP_sq2_mrqa_adqa_synqa_quoref
+tags:
+- generated_from_trainer
+model-index:
+- name: FYP_qa_final
+  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. -->
+
+# FYP_qa_final
+
+This model is a fine-tuned version of [kxx-kkk/FYP_sq2_mrqa_adqa_synqa_quoref](https://huggingface.co/kxx-kkk/FYP_sq2_mrqa_adqa_synqa_quoref) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.7986
+
+## 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: 1e-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: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.7022        | 0.8   | 500  | 3.2057          |
+| 2.5208        | 1.59  | 1000 | 2.9619          |
+| 2.4266        | 2.39  | 1500 | 2.7986          |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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