update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- paraphrasing
+- generated_from_trainer
+model-index:
+- name: t5-paraphrase-paws-msrp-opinosis-finetuned-parasci
+  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-paraphrase-paws-msrp-opinosis-finetuned-parasci
+
+This model is a fine-tuned version of [ceshine/t5-paraphrase-paws-msrp-opinosis](https://huggingface.co/ceshine/t5-paraphrase-paws-msrp-opinosis) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 2.4850
+- eval_rouge1: 30.3118
+- eval_rouge2: 13.2806
+- eval_rougeL: 27.7503
+- eval_rougeLsum: 27.7465
+- eval_runtime: 83.1986
+- eval_samples_per_second: 58.823
+- eval_steps_per_second: 1.839
+- epoch: 1.98
+- step: 21000
+
+## 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: 5.6e-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: 2
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0
+- Datasets 2.1.0
+- Tokenizers 0.12.1