---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- eli5_cleaned_datav3_60k
model-index:
- name: t5-base-end2end-questions-generation_eli_aug_squad
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-base-end2end-questions-generation_eli_aug_squad

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the eli5_cleaned_datav3_60k dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3334

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7135        | 0.26  | 100  | 2.4710          |
| 2.2744        | 0.51  | 200  | 2.4154          |
| 2.1936        | 0.77  | 300  | 2.3894          |
| 2.1313        | 1.03  | 400  | 2.3738          |
| 2.0684        | 1.28  | 500  | 2.3643          |
| 2.0603        | 1.54  | 600  | 2.3511          |
| 2.0437        | 1.8   | 700  | 2.3461          |
| 2.0114        | 2.06  | 800  | 2.3412          |
| 1.9976        | 2.31  | 900  | 2.3381          |
| 1.9883        | 2.57  | 1000 | 2.3349          |
| 1.9869        | 2.83  | 1100 | 2.3334          |


### Framework versions

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