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

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# t5-base-end2end-questions-generation_eli_squad_single

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: 2.7312

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4834        | 0.26  | 100  | 2.7458          |
| 2.3191        | 0.51  | 200  | 2.7305          |
| 2.2773        | 0.77  | 300  | 2.7290          |
| 2.2385        | 1.02  | 400  | 2.7239          |
| 2.1703        | 1.28  | 500  | 2.7328          |
| 2.1666        | 1.54  | 600  | 2.7324          |
| 2.1551        | 1.79  | 700  | 2.7325          |
| 2.1437        | 2.05  | 800  | 2.7323          |
| 2.0951        | 2.3   | 900  | 2.7331          |
| 2.107         | 2.56  | 1000 | 2.7336          |
| 2.1107        | 2.82  | 1100 | 2.7312          |


### Framework versions

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