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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: masked-question-generation-t5-base
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. -->
# masked-question-generation-t5-base
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: 0.8055
## 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2126 | 0.45 | 80 | 0.9040 |
| 0.9754 | 0.89 | 160 | 0.8565 |
| 0.8818 | 1.34 | 240 | 0.8393 |
| 0.8645 | 1.78 | 320 | 0.8234 |
| 0.8079 | 2.23 | 400 | 0.8177 |
| 0.7862 | 2.67 | 480 | 0.8081 |
| 0.7636 | 3.12 | 560 | 0.8101 |
| 0.7377 | 3.56 | 640 | 0.8074 |
| 0.7259 | 4.01 | 720 | 0.8052 |
| 0.7014 | 4.45 | 800 | 0.8051 |
| 0.7042 | 4.9 | 880 | 0.8055 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.11.0
|