update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: t5-base-msmarco-nlgen-ob
+  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. -->
+
+# t5-base-msmarco-nlgen-ob
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3874
+- Rougelsum: 14.4418
+
+## 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: 0.0001
+- 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: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rougelsum |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|
+| 0.5472        | 0.13  | 2500  | 0.4383          | 14.2497   |
+| 0.5238        | 0.26  | 5000  | 0.4252          | 14.4210   |
+| 0.501         | 0.39  | 7500  | 0.4093          | 14.3315   |
+| 0.4958        | 0.52  | 10000 | 0.4006          | 14.3347   |
+| 0.4913        | 0.66  | 12500 | 0.3944          | 14.5925   |
+| 0.4873        | 0.79  | 15000 | 0.3914          | 14.4193   |
+| 0.466         | 0.92  | 17500 | 0.3874          | 14.4418   |
+
+
+### Framework versions
+
+- Transformers 4.23.0.dev0
+- Pytorch 1.12.1+cu102
+- Datasets 2.4.0
+- Tokenizers 0.12.1