WITHINAPPS_NDD-pagekit_test-content-LongFormer

lgk03/WITHINAPPS_NDD-pagekit_test-content-LongFormer

WITHINAPPS_NDD-pagekit_test-content-LongFormer is a machine learning model from lgk03. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

License: apache-2.0
Model type: longformer
Access: Public
Created: Aug 7, 2024
Updated: Aug 13, 2024
SHA: 9504fc4b

Base models

allenai/longformer-base-4096

Model card

From the Hugging Face model README

WITHINAPPS_NDD-pagekit_test-content-LongFormer

This model is a fine-tuned version of allenai/longformer-base-4096 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1262
Accuracy: 0.8643
F1: 0.8651
Precision: 0.8941
Recall: 0.8643

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.1837	1.0	973	0.1281	0.8469	0.8474	0.8841	0.8469
0.1508	2.0	1946	0.1247	0.8561	0.8571	0.8792	0.8561
0.1374	3.0	2919	0.1459	0.8571	0.8581	0.8773	0.8571
0.1353	4.0	3892	0.1400	0.8607	0.8616	0.8860	0.8607
0.1313	5.0	4865	0.1416	0.8587	0.8596	0.8831	0.8587
0.1281	6.0	5838	0.1195	0.8643	0.8652	0.8907	0.8643
0.1246	7.0	6811	0.1373	0.8623	0.8632	0.8866	0.8623
0.1261	8.0	7784	0.1193	0.8618	0.8626	0.8895	0.8618
0.1168	9.0	8757	0.1223	0.8643	0.8650	0.8955	0.8643
0.1184	10.0	9730	0.1232	0.8638	0.8648	0.8817	0.8638
0.1195	11.0	10703	0.1192	0.8664	0.8671	0.8971	0.8664
0.1176	12.0	11676	0.1294	0.8654	0.8661	0.8956	0.8654
0.1126	13.0	12649	0.1199	0.8602	0.8612	0.8766	0.8602
0.115	14.0	13622	0.1200	0.8633	0.8641	0.8931	0.8633
0.1102	15.0	14595	0.1213	0.8654	0.8661	0.8961	0.8654
0.1089	16.0	15568	0.1229	0.8628	0.8636	0.8902	0.8628
0.112	17.0	16541	0.1199	0.8669	0.8676	0.8983	0.8669
0.1096	18.0	17514	0.1242	0.8669	0.8676	0.8983	0.8669
0.1091	19.0	18487	0.1262	0.8643	0.8651	0.8941	0.8643
0.108	20.0	19460	0.1262	0.8643	0.8651	0.8941	0.8643

Framework versions

Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: longformer
License: apache-2.0
Created: Aug 7, 2024
Updated: Aug 13, 2024