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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_modified_for_t5_qg
model-index:
- name: t5-end2end-questions-generation
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-end2end-questions-generation
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad_modified_for_t5_qg dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5674
## 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: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5884 | 0.34 | 100 | 1.9159 |
| 1.9705 | 0.68 | 200 | 1.7310 |
| 1.8439 | 1.02 | 300 | 1.6672 |
| 1.7426 | 1.35 | 400 | 1.6382 |
| 1.7147 | 1.69 | 500 | 1.6199 |
| 1.6908 | 2.03 | 600 | 1.6053 |
| 1.6315 | 2.37 | 700 | 1.5967 |
| 1.627 | 2.71 | 800 | 1.5939 |
| 1.6122 | 3.05 | 900 | 1.5877 |
| 1.5706 | 3.39 | 1000 | 1.5861 |
| 1.5708 | 3.73 | 1100 | 1.5742 |
| 1.5534 | 4.06 | 1200 | 1.5798 |
| 1.5351 | 4.4 | 1300 | 1.5738 |
| 1.5226 | 4.74 | 1400 | 1.5757 |
| 1.5187 | 5.08 | 1500 | 1.5727 |
| 1.4963 | 5.42 | 1600 | 1.5710 |
| 1.4841 | 5.76 | 1700 | 1.5668 |
| 1.5025 | 6.1 | 1800 | 1.5688 |
| 1.4778 | 6.44 | 1900 | 1.5717 |
| 1.4769 | 6.77 | 2000 | 1.5674 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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