update model card README.md

README.md

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+---
+license: mit
+base_model: VietAI/vit5-large
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-large-paraphase-finetuned
+  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. -->
+
+# t5-large-paraphase-finetuned
+
+This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI/vit5-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0026
+- Rouge1: 73.1728
+- Rouge2: 57.3725
+- Rougel: 69.3976
+- Rougelsum: 69.3849
+- Gen Len: 9.0143
+
+## 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: 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: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 1.0441        | 1.0   | 1969 | 1.0026          | 73.1728 | 57.3725 | 69.3976 | 69.3849   | 9.0143  |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1
+- Datasets 2.14.4
+- Tokenizers 0.13.3