---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: tst-summarization
  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. -->

# tst-summarization

This model is a fine-tuned version of [henryu-lin/t5-large-samsum-deepspeed](https://huggingface.co/henryu-lin/t5-large-samsum-deepspeed) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3922
- Rouge1: 54.905
- Rouge2: 26.6374
- Rougel: 40.4619
- Rougelsum: 52.3653
- Gen Len: 104.7241

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.18.0.dev0
- Pytorch 1.10.0
- Datasets 1.18.4
- Tokenizers 0.11.6