albert-base-ours-run-1

SkyR/albert-base-ours-run-1

albert-base-ours-run-1 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: f2fe6a8d

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Base models

Model card

From the Hugging Face model README

albert-base-ours-run-1

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: 2.3970
Accuracy: 0.735
Precision: 0.7033
Recall: 0.6790
F1: 0.6873

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
0.9719	1.0	200	0.8460	0.635	0.6534	0.5920	0.5547
0.7793	2.0	400	0.7762	0.675	0.6965	0.6323	0.5936
0.5734	3.0	600	0.8149	0.67	0.6200	0.6192	0.6196
0.3877	4.0	800	0.9555	0.7	0.6724	0.6482	0.6549
0.2426	5.0	1000	1.1248	0.695	0.6529	0.6437	0.6452
0.183	6.0	1200	1.3497	0.705	0.6717	0.6489	0.6563
0.1011	7.0	1400	1.6369	0.7	0.6620	0.6532	0.6560
0.0602	8.0	1600	1.8171	0.7	0.6763	0.6615	0.6654
0.0335	9.0	1800	1.9601	0.695	0.6640	0.6490	0.6545
0.0158	10.0	2000	2.0206	0.71	0.6802	0.6751	0.6768
0.0148	11.0	2200	2.0881	0.675	0.6252	0.6242	0.6232
0.0057	12.0	2400	2.2708	0.735	0.7146	0.6790	0.6904
0.0079	13.0	2600	2.2348	0.72	0.6917	0.6659	0.6746
0.0018	14.0	2800	2.2978	0.725	0.6968	0.6662	0.6761
0.0025	15.0	3000	2.3180	0.735	0.7067	0.6790	0.6883
0.0028	16.0	3200	2.3910	0.74	0.7153	0.6854	0.6953
0.0002	17.0	3400	2.3830	0.735	0.7033	0.6790	0.6873
0.0002	18.0	3600	2.3899	0.735	0.7033	0.6790	0.6873
0.0001	19.0	3800	2.3922	0.735	0.7033	0.6790	0.6873
0.0001	20.0	4000	2.3970	0.735	0.7033	0.6790	0.6873

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