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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-end2end-questions-generation_squad_single
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_single
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: 3.0815
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9402 | 0.26 | 100 | 3.0330 |
| 1.7483 | 0.51 | 200 | 3.0355 |
| 1.7082 | 0.77 | 300 | 3.0535 |
| 1.6808 | 1.02 | 400 | 3.0741 |
| 1.6108 | 1.28 | 500 | 3.0716 |
| 1.5994 | 1.54 | 600 | 3.0707 |
| 1.586 | 1.79 | 700 | 3.0727 |
| 1.5731 | 2.05 | 800 | 3.0761 |
| 1.5377 | 2.3 | 900 | 3.0893 |
| 1.5326 | 2.56 | 1000 | 3.0896 |
| 1.5422 | 2.82 | 1100 | 3.0815 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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