---
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