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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_v2
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_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6542
## 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
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.78 | 0.98 | 1000 | 1.6626 |
| 1.6148 | 1.96 | 2000 | 1.6441 |
| 1.5368 | 2.95 | 3000 | 1.6415 |
| 1.482 | 3.93 | 4000 | 1.6432 |
| 1.4387 | 4.91 | 5000 | 1.6466 |
| 1.408 | 5.89 | 6000 | 1.6512 |
| 1.3901 | 6.88 | 7000 | 1.6542 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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