albert-base-ours-run-5

SkyR/albert-base-ours-run-5

albert-base-ours-run-5 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: 140a03cd

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Base models

Model card

From the Hugging Face model README

albert-base-ours-run-5

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: 2.6151
Accuracy: 0.675
Precision: 0.6356
Recall: 0.6360
F1: 0.6356

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
0.9766	1.0	200	0.8865	0.645	0.5935	0.5872	0.5881
0.7725	2.0	400	1.0650	0.665	0.7143	0.5936	0.5556
0.6018	3.0	600	0.8558	0.7	0.6637	0.6444	0.6456
0.3838	4.0	800	0.9796	0.67	0.6220	0.6219	0.6218
0.2135	5.0	1000	1.4533	0.675	0.6611	0.5955	0.6055
0.1209	6.0	1200	1.4688	0.67	0.6392	0.6474	0.6398
0.072	7.0	1400	1.8395	0.695	0.6574	0.6540	0.6514
0.0211	8.0	1600	2.0849	0.7	0.6691	0.6607	0.6603
0.0102	9.0	1800	2.3042	0.695	0.6675	0.6482	0.6533
0.0132	10.0	2000	2.2390	0.685	0.6472	0.6423	0.6439
0.004	11.0	2200	2.3779	0.68	0.6435	0.6481	0.6443
0.0004	12.0	2400	2.4575	0.675	0.6397	0.6352	0.6357
0.0003	13.0	2600	2.4676	0.675	0.6356	0.6360	0.6356
0.0003	14.0	2800	2.5109	0.68	0.6427	0.6424	0.6422
0.0002	15.0	3000	2.5470	0.675	0.6356	0.6360	0.6356
0.0002	16.0	3200	2.5674	0.675	0.6356	0.6360	0.6356
0.0001	17.0	3400	2.5889	0.685	0.6471	0.6488	0.6474
0.0001	18.0	3600	2.6016	0.675	0.6356	0.6360	0.6356
0.0001	19.0	3800	2.6108	0.675	0.6356	0.6360	0.6356
0.0001	20.0	4000	2.6151	0.675	0.6356	0.6360	0.6356

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