update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: my_awesome_billsum_model
+  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. -->
+
+# my_awesome_billsum_model
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.1957
+- Rouge1: 0.2351
+- Rouge2: 0.02
+- Rougel: 0.1918
+- Rougelsum: 0.1918
+- Gen Len: 12.5
+
+## 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: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 6    | 5.3947          | 0.1805 | 0.0    | 0.165  | 0.1658    | 13.0    |
+| No log        | 2.0   | 12   | 5.2845          | 0.1923 | 0.0    | 0.1643 | 0.1645    | 13.9    |
+| No log        | 3.0   | 18   | 5.2270          | 0.2429 | 0.0    | 0.2029 | 0.2036    | 13.3    |
+| No log        | 4.0   | 24   | 5.1957          | 0.2351 | 0.02   | 0.1918 | 0.1918    | 12.5    |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3