---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-end2end-questions-generation-cvqualtrics-squad-V1
  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-end2end-questions-generation-cvqualtrics-squad-V1

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: 1.4124

## 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: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6178        | 0.34  | 100  | 1.8936          |
| 2.0032        | 0.67  | 200  | 1.6910          |
| 1.8748        | 1.01  | 300  | 1.6187          |
| 1.7769        | 1.34  | 400  | 1.5605          |
| 1.7404        | 1.68  | 500  | 1.5354          |
| 1.736         | 2.01  | 600  | 1.5059          |
| 1.6698        | 2.35  | 700  | 1.4904          |
| 1.6625        | 2.68  | 800  | 1.4656          |
| 1.6611        | 3.02  | 900  | 1.4487          |
| 1.6124        | 3.36  | 1000 | 1.4398          |
| 1.6133        | 3.69  | 1100 | 1.4278          |
| 1.6182        | 4.03  | 1200 | 1.4234          |
| 1.5836        | 4.36  | 1300 | 1.4161          |
| 1.5861        | 4.7   | 1400 | 1.4124          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1