---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_modified_for_t5_qg
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 squad_modified_for_t5_qg dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6757

## 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: 0.001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.124         | 0.34  | 100  | 1.7208          |
| 1.7926        | 0.68  | 200  | 1.6573          |
| 1.7222        | 1.02  | 300  | 1.6355          |
| 1.4834        | 1.35  | 400  | 1.6197          |
| 1.4899        | 1.69  | 500  | 1.6021          |
| 1.4635        | 2.03  | 600  | 1.6290          |
| 1.2757        | 2.37  | 700  | 1.6242          |
| 1.2905        | 2.71  | 800  | 1.6097          |
| 1.2696        | 3.05  | 900  | 1.6614          |
| 1.1292        | 3.39  | 1000 | 1.6611          |
| 1.1372        | 3.73  | 1100 | 1.6387          |
| 1.1124        | 4.06  | 1200 | 1.6750          |
| 1.0282        | 4.4   | 1300 | 1.6789          |
| 1.0199        | 4.74  | 1400 | 1.6757          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3