End of training

README.md

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+---
+base_model: tringuyen-uit/MRC_ER_vit5-large_syl_ViWikiFC
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: MRC_ER_vit5-large_syl_ViWikiFC
+  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. -->
+
+# MRC_ER_vit5-large_syl_ViWikiFC
+
+This model is a fine-tuned version of [tringuyen-uit/MRC_ER_vit5-large_syl_ViWikiFC](https://huggingface.co/tringuyen-uit/MRC_ER_vit5-large_syl_ViWikiFC) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.5576
+- Exact Match: 0.8024
+- F1: 0.8241
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Exact Match | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:|
+| 0.3388        | 1.0   | 8369  | 2.1133          | 0.7995      | 0.8224 |
+| 0.3827        | 2.0   | 16738 | 2.3313          | 0.8029      | 0.8255 |
+| 0.0881        | 3.0   | 25107 | 3.5576          | 0.8024      | 0.8241 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.2.1
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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