FN_JLL-Hackathon-Fine-Tuned_QA-ALBERT-SQuAD

FredNajjar/FN_JLL-Hackathon-Fine-Tuned_QA-ALBERT-SQuAD

FN_JLL-Hackathon-Fine-Tuned_QA-ALBERT-SQuAD is a question answering model from FredNajjar. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: albert
Access: Public
Created: Sep 10, 2023
Updated: Sep 10, 2023
SHA: 555cdd64

Try a prompt

Base models

Datasets

squad

Model card

From the Hugging Face model README

FN_JLL-Hackathon-Fine-Tuned_QA-ALBERT-SQuAD

This model is a fine-tuned version of albert-base-v2 on the squad dataset. It achieves the following results on the evaluation set:

Loss: 1.3848

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
No log	1.0	25	2.4216
No log	2.0	50	1.5827
No log	3.0	75	1.3848

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: albert
License: apache-2.0
Created: Sep 10, 2023
Updated: Sep 10, 2023