End of training

README.md

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+---
+license: cc-by-nc-4.0
+base_model: nguyenvulebinh/vi-mrc-base
+tags:
+- generated_from_trainer
+model-index:
+- name: Evidence_Retrieval_model_vi_mrc
+  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. -->
+
+# Evidence_Retrieval_model_vi_mrc
+
+This model is a fine-tuned version of [nguyenvulebinh/vi-mrc-base](https://huggingface.co/nguyenvulebinh/vi-mrc-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4764
+
+## 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: 32
+- eval_batch_size: 32
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5132        | 1.0   | 524  | 0.3571          |
+| 0.2579        | 2.0   | 1048 | 0.3149          |
+| 0.1958        | 3.0   | 1572 | 0.3707          |
+| 0.1473        | 4.0   | 2096 | 0.4362          |
+| 0.1066        | 5.0   | 2620 | 0.4764          |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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