---
tags:
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: t5-pegasus-finetuned
  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-pegasus-finetuned

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8469
- Sacrebleu: 1.6544
- Rouge 1: 0.0646
- Rouge 2: 0.0076
- Rouge L: 0.0629
- Bleu 1: 0.2040
- Bleu 2: 0.0959
- Bleu 3: 0.0484
- Bleu 4: 0.0287
- Meteor: 0.0872
- Gen Len: 16.0997

## 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: 5e-05
- train_batch_size: 512
- eval_batch_size: 256
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.21.0.dev0
- Pytorch 1.9.1+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1