update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-base-finetuned-p7_V2
+  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-base-finetuned-p7_V2
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5882
+- Rouge1: 53.6225
+- Rouge2: 43.8285
+- Rougel: 51.4683
+- Rougelsum: 51.8848
+- Gen Len: 18.2368
+
+## 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: 1
+- eval_batch_size: 1
+- 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 | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 0.7305        | 1.0   | 910  | 0.6238          | 52.767  | 42.9846 | 50.5281 | 50.9489   | 18.3125 |
+| 0.4819        | 2.0   | 1820 | 0.5835          | 53.6526 | 44.0044 | 51.6286 | 51.9821   | 18.2533 |
+| 0.4193        | 3.0   | 2730 | 0.5882          | 53.6225 | 43.8285 | 51.4683 | 51.8848   | 18.2368 |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3