---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5_Question_Generation_2
  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_Question_Generation_2

This model is a fine-tuned version of [Gayathri142214002/t5_Question_Generation](https://huggingface.co/Gayathri142214002/t5_Question_Generation) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5549

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0256        | 0.25  | 100  | 0.7578          |
| 0.7848        | 0.5   | 200  | 0.6872          |
| 0.6682        | 0.75  | 300  | 0.6440          |
| 0.6444        | 1.0   | 400  | 0.5939          |
| 0.4903        | 1.25  | 500  | 0.5944          |
| 0.4894        | 1.5   | 600  | 0.5675          |
| 0.5001        | 1.75  | 700  | 0.5546          |
| 0.4891        | 2.0   | 800  | 0.5469          |
| 0.3779        | 2.25  | 900  | 0.5523          |
| 0.3802        | 2.5   | 1000 | 0.5609          |
| 0.395         | 2.74  | 1100 | 0.5483          |
| 0.3916        | 2.99  | 1200 | 0.5482          |
| 0.3383        | 3.24  | 1300 | 0.5634          |
| 0.3391        | 3.49  | 1400 | 0.5629          |
| 0.3294        | 3.74  | 1500 | 0.5573          |
| 0.3363        | 3.99  | 1600 | 0.5413          |
| 0.2851        | 4.24  | 1700 | 0.5533          |
| 0.3032        | 4.49  | 1800 | 0.5575          |
| 0.2995        | 4.74  | 1900 | 0.5548          |
| 0.3091        | 4.99  | 2000 | 0.5396          |
| 0.2606        | 5.24  | 2100 | 0.5420          |
| 0.2622        | 5.49  | 2200 | 0.5468          |
| 0.2817        | 5.74  | 2300 | 0.5460          |
| 0.2743        | 5.99  | 2400 | 0.5473          |
| 0.2501        | 6.24  | 2500 | 0.5542          |
| 0.2484        | 6.49  | 2600 | 0.5558          |
| 0.2388        | 6.74  | 2700 | 0.5542          |
| 0.2414        | 6.99  | 2800 | 0.5549          |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3