update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5small_contracts
+  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. -->
+
+# t5small_contracts
+
+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: 2.9521
+- Rouge1: 0.2926
+- Rouge2: 0.1622
+- Rougel: 0.2568
+- Rougelsum: 0.2549
+- Gen Len: 18.4146
+
+## 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   | 11   | 3.3928          | 0.2931 | 0.1602 | 0.2571 | 0.255     | 18.5122 |
+| No log        | 2.0   | 22   | 3.1343          | 0.2951 | 0.1632 | 0.2593 | 0.2565    | 18.4146 |
+| No log        | 3.0   | 33   | 3.0073          | 0.2919 | 0.1617 | 0.2563 | 0.2541    | 18.4146 |
+| No log        | 4.0   | 44   | 2.9521          | 0.2926 | 0.1622 | 0.2568 | 0.2549    | 18.4146 |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1
+- Datasets 2.10.0
+- Tokenizers 0.11.0