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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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