update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- billsum
+metrics:
+- rouge
+- bleu
+model-index:
+- name: flan-t5-base-billsum_model
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: billsum
+      type: billsum
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.2154
+    - name: Bleu
+      type: bleu
+      value: 0.0011
+---
+
+<!-- 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-base-billsum_model
+
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the billsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+- Rouge1: 0.2154
+- Rouge2: 0.1259
+- Rougel: 0.1843
+- Rougelsum: 0.1843
+- Gen Len: 17.3735
+- Bleu: 0.0011
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 40
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bleu   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:------:|
+| No log        | 1.0   | 296  | nan             | 0.2154 | 0.1259 | 0.1843 | 0.1843    | 17.3735 | 0.0011 |
+| 0.0           | 2.0   | 592  | nan             | 0.2154 | 0.1259 | 0.1843 | 0.1843    | 17.3735 | 0.0011 |
+| 0.0           | 3.0   | 888  | nan             | 0.2154 | 0.1259 | 0.1843 | 0.1843    | 17.3735 | 0.0011 |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3