---
license: mit
tags:
- generated_from_trainer
datasets:
- mlsum
model-index:
- name: t5-mlsum_2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-mlsum_2

This model is a fine-tuned version of [sysresearch101/t5-large-finetuned-xsum-cnn](https://huggingface.co/sysresearch101/t5-large-finetuned-xsum-cnn) on the mlsum dataset.

## 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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.24.0
- Pytorch 1.13.0+cpu
- Datasets 2.7.1
- Tokenizers 0.13.2