---
license: apache-2.0
tags:
- generated_from_trainer
datasets: din0s/msmarco-nlgen
model-index:
- name: t5-base-msmarco-nlgen-cb
  results: []
---

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# t5-base-msmarco-nlgen-cb

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the [MS MARCO Natural Language Generation](https://huggingface.co/datasets/din0s/msmarco-nlgen) dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0571
- Rougelsum: 24.7427

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 2.1393        | 0.26  | 2500 | 2.1099          | 24.5028   |
| 2.1006        | 0.52  | 5000 | 2.0739          | 24.6017   |
| 2.0694        | 0.78  | 7500 | 2.0571          | 24.7427   |


### Framework versions

- Transformers 4.23.0.dev0
- Pytorch 1.12.1+cu102
- Datasets 2.4.0
- Tokenizers 0.12.1