frame_classification_longformer_earlystopping_2

AriyanH22/frame_classification_longformer_earlystopping_2

frame_classification_longformer_earlystopping_2 is a text classification model from AriyanH22. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: apache-2.0
Model type: longformer
Access: Public
Created: Mar 12, 2024
Updated: Mar 12, 2024
SHA: 6bd00573

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Base models

allenai/longformer-base-4096

Model card

From the Hugging Face model README

frame_classification_longformer_earlystopping_2

This model is a fine-tuned version of allenai/longformer-base-4096 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5698
Accuracy: 0.9317
F1: 0.9601
Precision: 0.9346
Recall: 0.9869

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.8651	1.0	1288	1.1520	0.8323	0.9085	0.8323	1.0
0.7998	2.0	2576	0.6925	0.9130	0.9495	0.9181	0.9832
0.6819	3.0	3864	0.4349	0.9255	0.9560	0.9404	0.9720
0.7033	4.0	5152	0.5836	0.9224	0.9547	0.9278	0.9832
0.757	5.0	6440	0.5795	0.9224	0.9544	0.9339	0.9757
0.6963	6.0	7728	0.5488	0.9317	0.9599	0.9393	0.9813
0.6656	7.0	9016	0.6232	0.9255	0.9564	0.9311	0.9832
0.6957	8.0	10304	0.6441	0.9255	0.9564	0.9311	0.9832
0.6852	9.0	11592	0.6009	0.9224	0.9548	0.9263	0.9851
0.6846	10.0	12880	0.5947	0.9255	0.9564	0.9311	0.9832
0.728	11.0	14168	0.5873	0.9224	0.9550	0.9219	0.9907
0.6456	12.0	15456	0.5781	0.9332	0.9609	0.9363	0.9869
0.662	13.0	16744	0.5128	0.9301	0.9588	0.9408	0.9776
0.6017	14.0	18032	0.6430	0.9177	0.9514	0.9351	0.9683
0.7525	15.0	19320	0.5631	0.9193	0.9522	0.9384	0.9664
0.6802	16.0	20608	0.5949	0.9224	0.9544	0.9339	0.9757
0.6489	17.0	21896	0.6540	0.9022	0.9416	0.9355	0.9478
0.707	18.0	23184	0.5921	0.9239	0.9554	0.9325	0.9795
0.7158	19.0	24472	0.6170	0.9255	0.9564	0.9311	0.9832
0.6264	20.0	25760	0.5303	0.9348	0.9617	0.9395	0.9851
0.6667	21.0	27048	0.6288	0.9255	0.9566	0.9281	0.9869
0.6648	22.0	28336	0.6579	0.9208	0.9540	0.9232	0.9869
0.6204	23.0	29624	0.5716	0.9301	0.9592	0.9330	0.9869
0.6693	24.0	30912	0.6138	0.9270	0.9575	0.9282	0.9888
0.6555	25.0	32200	0.6369	0.9255	0.9566	0.9281	0.9869
0.6446	26.0	33488	0.5609	0.9301	0.9591	0.9345	0.9851
0.6675	27.0	34776	0.5622	0.9301	0.9591	0.9361	0.9832
0.5946	28.0	36064	0.5740	0.9301	0.9591	0.9345	0.9851
0.5707	29.0	37352	0.5661	0.9317	0.9601	0.9346	0.9869
0.6703	30.0	38640	0.5698	0.9317	0.9601	0.9346	0.9869

Framework versions

Transformers 4.38.2
Pytorch 2.2.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: longformer
License: apache-2.0
Created: Mar 12, 2024
Updated: Mar 12, 2024