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

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

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5242

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.8266        | 0.25  | 100  | 2.9131          |
| 2.9641        | 0.51  | 200  | 2.7933          |
| 2.8628        | 0.76  | 300  | 2.7168          |
| 2.8042        | 1.01  | 400  | 2.6537          |
| 2.7292        | 1.27  | 500  | 2.6111          |
| 2.6952        | 1.52  | 600  | 2.5807          |
| 2.6677        | 1.77  | 700  | 2.5603          |
| 2.6553        | 2.03  | 800  | 2.5481          |
| 2.6339        | 2.28  | 900  | 2.5348          |
| 2.6246        | 2.53  | 1000 | 2.5286          |
| 2.6205        | 2.78  | 1100 | 2.5242          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3