---
license: apache-2.0
tags:
- generated_from_trainer
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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6363

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6063        | 0.67  | 100  | 1.9609          |
| 1.9832        | 1.35  | 200  | 1.7818          |
| 1.8375        | 2.02  | 300  | 1.7241          |
| 1.7553        | 2.69  | 400  | 1.6982          |
| 1.7077        | 3.36  | 500  | 1.6691          |
| 1.68          | 4.04  | 600  | 1.6638          |
| 1.64          | 4.71  | 700  | 1.6521          |
| 1.6149        | 5.38  | 800  | 1.6467          |
| 1.6064        | 6.05  | 900  | 1.6502          |
| 1.5768        | 6.73  | 1000 | 1.6394          |
| 1.5685        | 7.4   | 1100 | 1.6389          |
| 1.5568        | 8.07  | 1200 | 1.6342          |
| 1.5422        | 8.74  | 1300 | 1.6326          |
| 1.5422        | 9.42  | 1400 | 1.6363          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3