---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-end-to-end-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-end-to-end-questions-generation

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: 1.2854

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7656        | 0.43  | 100  | 1.3979          |
| 1.5042        | 0.86  | 200  | 1.3440          |
| 1.3992        | 1.3   | 300  | 1.3230          |
| 1.3654        | 1.73  | 400  | 1.3035          |
| 1.3329        | 2.16  | 500  | 1.2980          |
| 1.2613        | 2.59  | 600  | 1.2880          |
| 1.2684        | 3.02  | 700  | 1.2798          |
| 1.2107        | 3.45  | 800  | 1.2847          |
| 1.2081        | 3.89  | 900  | 1.2808          |
| 1.1707        | 4.32  | 1000 | 1.2881          |
| 1.1633        | 4.75  | 1100 | 1.2814          |
| 1.1607        | 5.18  | 1200 | 1.2839          |
| 1.1272        | 5.61  | 1300 | 1.2852          |
| 1.1266        | 6.05  | 1400 | 1.2838          |
| 1.1045        | 6.48  | 1500 | 1.2857          |
| 1.1117        | 6.91  | 1600 | 1.2854          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.11.0