transformers pytorch tensorboard t5 text2text-generation generated_from_trainer license:mit autotrain_compatible text-generation-inference endpoints_compatible region:us
---
license: mit
tags:
- generated_from_trainer
model-index:
- name: finetuned-viT5-newwiki-summarization
  results: []
---

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# finetuned-viT5-newwiki-summarization

This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5808
- eval_rouge1: 48.8124
- eval_rouge2: 25.4951
- eval_rougeL: 35.0057
- eval_rougeLsum: 37.2134
- eval_runtime: 515.0078
- eval_samples_per_second: 3.845
- eval_steps_per_second: 0.961
- epoch: 12.0
- step: 23760

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 15
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.17.0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
