---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-msmarco-nlgen-ob
  results: []
---

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

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3874
- Rougelsum: 14.4418

## 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: 8
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|
| 0.5472        | 0.13  | 2500  | 0.4383          | 14.2497   |
| 0.5238        | 0.26  | 5000  | 0.4252          | 14.4210   |
| 0.501         | 0.39  | 7500  | 0.4093          | 14.3315   |
| 0.4958        | 0.52  | 10000 | 0.4006          | 14.3347   |
| 0.4913        | 0.66  | 12500 | 0.3944          | 14.5925   |
| 0.4873        | 0.79  | 15000 | 0.3914          | 14.4193   |
| 0.466         | 0.92  | 17500 | 0.3874          | 14.4418   |


### Framework versions

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