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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-end2end-questions-generation_squad_aug
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-end2end-questions-generation_squad_aug
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: 3.0874
## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9281 | 0.25 | 100 | 3.0443 |
| 1.7378 | 0.5 | 200 | 3.0395 |
| 1.6719 | 0.76 | 300 | 3.0509 |
| 1.6495 | 1.01 | 400 | 3.0564 |
| 1.572 | 1.26 | 500 | 3.0780 |
| 1.5609 | 1.51 | 600 | 3.0569 |
| 1.5684 | 1.76 | 700 | 3.0696 |
| 1.5579 | 2.01 | 800 | 3.0729 |
| 1.5017 | 2.27 | 900 | 3.0898 |
| 1.5079 | 2.52 | 1000 | 3.0879 |
| 1.503 | 2.77 | 1100 | 3.0874 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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