albert_v2_lookup_spending_category

kranasian/albert_v2_lookup_spending_category

albert_v2_lookup_spending_category is a question answering model from kranasian. 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. --

Downloads · 30 days

0% of all-time downloads

All-time downloads

20.6K

Public

Parameters

11.1M

88.8 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors44.4 MB · 95%

At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: albert
Access: Public
Created: Jun 10, 2024
Updated: Jun 10, 2024
SHA: bf350d66

Try a prompt

Base models

Palak/albert-base-v2_squad

Model card

From the Hugging Face model README

albert_v2_lookup_spending_category

This model is a fine-tuned version of Palak/albert-base-v2_squad on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0406

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	84	0.0321
No log	2.0	168	0.0358
No log	3.0	252	0.0372
No log	4.0	336	0.0381
No log	5.0	420	0.0388
0.0064	6.0	504	0.0393
0.0064	7.0	588	0.0398
0.0064	8.0	672	0.0401
0.0064	9.0	756	0.0403
0.0064	10.0	840	0.0405
0.0064	11.0	924	0.0406
0.0	12.0	1008	0.0406

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

Task: Question Answering
Library: transformers
Type: albert
License: apache-2.0
Created: Jun 10, 2024
Updated: Jun 10, 2024