---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
model-index:
- name: t5-base-end2end-questions-generation_eli_squad_aug_exp_pcsq
  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_squad_aug_exp_pcsq

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: 2.2180

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4142        | 0.25  | 100  | 2.3057          |
| 2.2423        | 0.5   | 200  | 2.2645          |
| 2.2185        | 0.74  | 300  | 2.2468          |
| 2.1907        | 0.99  | 400  | 2.2308          |
| 2.1141        | 1.24  | 500  | 2.2342          |
| 2.083         | 1.49  | 600  | 2.2288          |
| 2.0817        | 1.74  | 700  | 2.2220          |
| 2.0841        | 1.99  | 800  | 2.2227          |
| 2.0358        | 2.23  | 900  | 2.2210          |
| 2.0356        | 2.48  | 1000 | 2.2181          |
| 2.0241        | 2.73  | 1100 | 2.2199          |
| 2.0307        | 2.98  | 1200 | 2.2180          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3