pytorch t5 text2text-generation dataset:wiselinjayajos/squad_modified_for_t5_qg transformers generated_from_trainer license:apache-2.0 model-index autotrain_compatible
---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wiselinjayajos/squad_modified_for_t5_qg
widget:
- text: "generate question: Python is developed by Guido Van Rossum and released in 1991.</s>"
model-index:
- name: t5-end2end-questions-generation
  results: []
---

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# 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: 1.5789

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5879        | 0.34  | 100  | 1.9133          |
| 1.9688        | 0.68  | 200  | 1.7313          |
| 1.8513        | 1.02  | 300  | 1.6691          |
| 1.7459        | 1.36  | 400  | 1.6413          |
| 1.7206        | 1.69  | 500  | 1.6200          |
| 1.7026        | 2.03  | 600  | 1.6101          |
| 1.6447        | 2.37  | 700  | 1.5983          |
| 1.6402        | 2.71  | 800  | 1.5979          |
| 1.6332        | 3.05  | 900  | 1.5924          |
| 1.5953        | 3.39  | 1000 | 1.5877          |
| 1.5922        | 3.73  | 1100 | 1.5854          |
| 1.5832        | 4.07  | 1200 | 1.5830          |
| 1.5726        | 4.41  | 1300 | 1.5799          |
| 1.5587        | 4.75  | 1400 | 1.5789          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
