update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: google/flan-t5-small
+tags:
+- text2textgeneration
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: flan-t5-small-finetune-medicine-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. -->
+
+# flan-t5-small-finetune-medicine-v2
+
+This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0323
+- Rouge1: 11.2462
+- Rouge2: 4.9536
+- Rougel: 11.1634
+- Rougelsum: 11.0579
+
+## 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: 5.6e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| No log        | 1.0   | 5    | 3.0553          | 10.7238 | 4.9536 | 10.5795 | 10.5795   |
+| No log        | 2.0   | 10   | 3.0323          | 11.2462 | 4.9536 | 11.1634 | 11.0579   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.1
+- Tokenizers 0.13.3