albert-base-ours-run-2

SkyR/albert-base-ours-run-2

albert-base-ours-run-2 is a text classification model from SkyR. 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: albert
Access: Public
Created: Jan 12, 2023
Updated: Dec 20, 2023
SHA: 93e2b288

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Base models

Model card

From the Hugging Face model README

albert-base-ours-run-2

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

Loss: 2.2462
Accuracy: 0.695
Precision: 0.6550
Recall: 0.6529
F1: 0.6539

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
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	Precision	Recall	F1
0.999	1.0	200	0.9155	0.615	0.5590	0.5590	0.5524
0.7736	2.0	400	0.8488	0.6	0.5639	0.5689	0.5256
0.5836	3.0	600	0.8760	0.67	0.6259	0.6158	0.6191
0.4153	4.0	800	1.0050	0.675	0.6356	0.6212	0.5974
0.3188	5.0	1000	1.2033	0.655	0.6254	0.5977	0.5991
0.2335	6.0	1200	1.3407	0.625	0.5955	0.6039	0.5937
0.1752	7.0	1400	1.4246	0.72	0.6846	0.6815	0.6820
0.1056	8.0	1600	1.9654	0.69	0.6589	0.6251	0.6311
0.0696	9.0	1800	1.9376	0.715	0.6908	0.6632	0.6627
0.0352	10.0	2000	1.9970	0.72	0.6880	0.6784	0.6817
0.0227	11.0	2200	2.1449	0.705	0.6901	0.6641	0.6679
0.0199	12.0	2400	2.2213	0.72	0.6891	0.6685	0.6749
0.0077	13.0	2600	2.1500	0.69	0.6729	0.6704	0.6647
0.0067	14.0	2800	2.1780	0.69	0.6632	0.6651	0.6621
0.0034	15.0	3000	2.1759	0.71	0.6800	0.6786	0.6788
0.0013	16.0	3200	2.2139	0.71	0.6760	0.6721	0.6735
0.0005	17.0	3400	2.2282	0.7	0.6606	0.6593	0.6599
0.0003	18.0	3600	2.2257	0.7	0.6606	0.6593	0.6599
0.0003	19.0	3800	2.2492	0.695	0.6550	0.6529	0.6539
0.0002	20.0	4000	2.2462	0.695	0.6550	0.6529	0.6539

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: albert
License: apache-2.0
Created: Jan 12, 2023
Updated: Dec 20, 2023