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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# t5-base-end2end-questions-generation_eli_squad_single_exp_imp

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3209

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3631        | 0.25  | 100  | 2.4532          |
| 2.1765        | 0.49  | 200  | 2.4057          |
| 2.1516        | 0.74  | 300  | 2.3775          |
| 2.1037        | 0.98  | 400  | 2.3595          |
| 2.0402        | 1.23  | 500  | 2.3486          |
| 2.0185        | 1.47  | 600  | 2.3384          |
| 2.0031        | 1.72  | 700  | 2.3350          |
| 2.0344        | 1.96  | 800  | 2.3275          |
| 1.9459        | 2.21  | 900  | 2.3262          |
| 1.9789        | 2.46  | 1000 | 2.3235          |
| 1.9784        | 2.7   | 1100 | 2.3210          |
| 1.9592        | 2.95  | 1200 | 2.3209          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3