---
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
model-index:
- name: Prompting-NLP-Paper-to-QA-Generation-abstract-only
  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. -->

# Prompting-NLP-Paper-to-QA-Generation-abstract-only

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 21.0330

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 184
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.99  | 46   | 42.8265         |
| 36.8265       | 1.99  | 92   | 41.8626         |
| 36.8265       | 2.98  | 138  | 39.9479         |
| 35.1011       | 3.97  | 184  | 37.2276         |
| 35.1011       | 4.97  | 230  | 33.5552         |
| 28.7673       | 5.96  | 276  | 25.3570         |
| 28.7673       | 6.95  | 322  | 22.8463         |
| 20.3737       | 7.95  | 368  | 22.0063         |
| 20.3737       | 8.94  | 414  | 21.5694         |
| 19.2477       | 9.93  | 460  | 21.3303         |
| 19.2477       | 10.93 | 506  | 21.1698         |
| 18.9724       | 11.92 | 552  | 21.0922         |
| 18.9724       | 12.91 | 598  | 21.0487         |
| 18.9072       | 13.91 | 644  | 21.0365         |
| 18.9072       | 14.9  | 690  | 21.0330         |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0