update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- xsum
+model-index:
+- name: t5-small-finetuned-xsum
+  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-small-finetuned-xsum
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 2.5035
+- eval_rouge1: 27.8289
+- eval_rouge2: 7.4394
+- eval_rougeL: 21.8436
+- eval_rougeLsum: 21.8522
+- eval_gen_len: 18.808
+- eval_runtime: 277.1343
+- eval_samples_per_second: 40.89
+- eval_steps_per_second: 1.281
+- epoch: 1.0
+- step: 6377
+
+## 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: 32
+- eval_batch_size: 32
+- 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
+
+### Framework versions
+
+- Transformers 4.16.2
+- Pytorch 1.9.0
+- Datasets 2.3.2
+- Tokenizers 0.11.0