---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fudnet
  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. -->

# fudnet

This model is a fine-tuned version of [setu4993/LaBSE](https://huggingface.co/setu4993/LaBSE) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1370
- Accuracy: 0.9537

## Model description

FUDNet is for Follow-Up Detector Net.
This model takes two consequtive questions of a multidoc2dial question answering conversation and determines whether those two questions are from the same documents or not.

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1946        | 1.0   | 732  | 0.1493          | 0.9453   |
| 0.0945        | 2.0   | 1464 | 0.1370          | 0.9537   |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.12.1+cu113
- Datasets 2.0.0
- Tokenizers 0.12.1