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---
license: apache-2.0
base_model: ThomasSimonini/t5-end2end-question-generation
tags:
- generated_from_trainer
model-index:
- name: t52
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. -->
# t52
This model is a fine-tuned version of [ThomasSimonini/t5-end2end-question-generation](https://huggingface.co/ThomasSimonini/t5-end2end-question-generation) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6944
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.2217 | 0.65 | 100 | 2.9125 |
| 2.9732 | 1.3 | 200 | 2.8349 |
| 2.8996 | 1.95 | 300 | 2.7879 |
| 2.8009 | 2.59 | 400 | 2.7614 |
| 2.7532 | 3.24 | 500 | 2.7406 |
| 2.6964 | 3.89 | 600 | 2.7208 |
| 2.6462 | 4.54 | 700 | 2.7153 |
| 2.6265 | 5.19 | 800 | 2.7037 |
| 2.6089 | 5.84 | 900 | 2.6968 |
| 2.5522 | 6.49 | 1000 | 2.6944 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3
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