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-v4
+  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-v4
+
+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: 2.7404
+- Rouge1: 17.0034
+- Rouge2: 4.9383
+- Rougel: 16.8615
+- Rougelsum: 16.6931
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| No log        | 1.0   | 5    | 2.8864          | 15.7685 | 5.117  | 15.7138 | 15.518    |
+| No log        | 2.0   | 10   | 2.8754          | 15.7702 | 5.117  | 15.6758 | 15.5641   |
+| No log        | 3.0   | 15   | 2.8556          | 15.9322 | 4.0564 | 15.9587 | 15.8195   |
+| No log        | 4.0   | 20   | 2.8469          | 16.4117 | 4.9383 | 16.3008 | 16.2258   |
+| No log        | 5.0   | 25   | 2.8380          | 17.2745 | 4.9383 | 17.2039 | 17.0175   |
+| No log        | 6.0   | 30   | 2.8276          | 16.8416 | 5.6437 | 16.737  | 16.5215   |
+| No log        | 7.0   | 35   | 2.8118          | 17.0703 | 4.9383 | 16.9715 | 16.7941   |
+| No log        | 8.0   | 40   | 2.8010          | 17.0034 | 4.9383 | 16.8615 | 16.6931   |
+| No log        | 9.0   | 45   | 2.7898          | 17.0034 | 4.9383 | 16.8615 | 16.6931   |
+| No log        | 10.0  | 50   | 2.7783          | 17.0034 | 4.9383 | 16.8615 | 16.6931   |
+| No log        | 11.0  | 55   | 2.7694          | 17.0034 | 4.9383 | 16.8615 | 16.6931   |
+| No log        | 12.0  | 60   | 2.7617          | 17.0034 | 4.9383 | 16.8615 | 16.6931   |
+| No log        | 13.0  | 65   | 2.7546          | 17.0034 | 4.9383 | 16.8615 | 16.6931   |
+| No log        | 14.0  | 70   | 2.7478          | 17.0034 | 4.9383 | 16.8615 | 16.6931   |
+| No log        | 15.0  | 75   | 2.7437          | 17.0034 | 4.9383 | 16.8615 | 16.6931   |
+| No log        | 16.0  | 80   | 2.7417          | 17.0034 | 4.9383 | 16.8615 | 16.6931   |
+| No log        | 17.0  | 85   | 2.7416          | 17.0034 | 4.9383 | 16.8615 | 16.6931   |
+| No log        | 18.0  | 90   | 2.7409          | 17.0034 | 4.9383 | 16.8615 | 16.6931   |
+| No log        | 19.0  | 95   | 2.7405          | 17.0034 | 4.9383 | 16.8615 | 16.6931   |
+| No log        | 20.0  | 100  | 2.7404          | 17.0034 | 4.9383 | 16.8615 | 16.6931   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.1
+- Tokenizers 0.13.3