---
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: 1.5670

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5856        | 0.34  | 100  | 1.9106          |
| 1.9634        | 0.68  | 200  | 1.7226          |
| 1.8421        | 1.02  | 300  | 1.6633          |
| 1.742         | 1.35  | 400  | 1.6343          |
| 1.7129        | 1.69  | 500  | 1.6129          |
| 1.69          | 2.03  | 600  | 1.6110          |
| 1.6315        | 2.37  | 700  | 1.5964          |
| 1.6273        | 2.71  | 800  | 1.5902          |
| 1.6109        | 3.05  | 900  | 1.5900          |
| 1.571         | 3.39  | 1000 | 1.5849          |
| 1.566         | 3.73  | 1100 | 1.5687          |
| 1.5501        | 4.06  | 1200 | 1.5797          |
| 1.5347        | 4.4   | 1300 | 1.5795          |
| 1.5242        | 4.74  | 1400 | 1.5679          |
| 1.5173        | 5.08  | 1500 | 1.5752          |
| 1.4966        | 5.42  | 1600 | 1.5698          |
| 1.484         | 5.76  | 1700 | 1.5689          |
| 1.5008        | 6.1   | 1800 | 1.5684          |
| 1.4754        | 6.44  | 1900 | 1.5680          |
| 1.479         | 6.77  | 2000 | 1.5670          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3