End of training

README.md

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+---
+license: mit
+base_model: VietAI/vit5-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: mrc-vit5-dsc
+  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-vit5-dsc
+
+This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6093
+- Exact Match: 0.7382
+- F1: 0.8663
+
+## 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: 6
+- eval_batch_size: 4
+- 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 | Exact Match | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:|
+| 0.7044        | 1.0   | 4240  | 0.6239          | 0.6669      | 0.8277 |
+| 0.5249        | 2.0   | 8480  | 0.5740          | 0.7000      | 0.8584 |
+| 0.3262        | 3.0   | 12720 | 0.7052          | 0.7215      | 0.8609 |
+| 0.2361        | 4.0   | 16960 | 1.1596          | 0.7305      | 0.8601 |
+| 0.1454        | 5.0   | 21200 | 1.6093          | 0.7382      | 0.8663 |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.2.1
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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