---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
model-index:
- name: t5-base-end2end-questions-generation_eli_squad_aug_exp_pcmq
  results: []
---

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# t5-base-end2end-questions-generation_eli_squad_aug_exp_pcmq

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: 1.9780

## 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: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.908         | 0.25  | 100  | 2.3338          |
| 2.3249        | 0.51  | 200  | 2.1620          |
| 2.2064        | 0.76  | 300  | 2.0901          |
| 2.1555        | 1.01  | 400  | 2.0549          |
| 2.0733        | 1.27  | 500  | 2.0278          |
| 2.0535        | 1.52  | 600  | 2.0134          |
| 2.0321        | 1.77  | 700  | 1.9984          |
| 2.0246        | 2.03  | 800  | 1.9943          |
| 1.9915        | 2.28  | 900  | 1.9835          |
| 1.98          | 2.53  | 1000 | 1.9798          |
| 1.9823        | 2.78  | 1100 | 1.9780          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3