Regression_AlBERT_aug_MSEloss

Svetlana0303/Regression_AlBERT_aug_MSEloss

Regression_AlBERT_aug_MSEloss is a text classification model from Svetlana0303. 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: Apr 19, 2023
Updated: Apr 19, 2023
SHA: 9c730888

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Model card

From the Hugging Face model README

Regression_AlBERT_aug_MSEloss

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: 0.2216
Mse: 0.2216
Mae: 0.3302
R2: 0.5082
Accuracy: 0.7533

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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Mse	Mae	R2	Accuracy
No log	1.0	263	0.2554	0.2554	0.3841	0.4041	0.6867
0.2379	2.0	526	0.1471	0.1471	0.2426	0.6568	0.86
0.2379	3.0	789	0.1189	0.1189	0.2212	0.7226	0.8633
0.0845	4.0	1052	0.1052	0.1052	0.2121	0.7546	0.8767
0.0845	5.0	1315	0.0913	0.0913	0.1642	0.7869	0.9067
0.0441	6.0	1578	0.0610	0.0610	0.1272	0.8577	0.9467
0.0441	7.0	1841	0.0594	0.0594	0.0965	0.8614	0.9433
0.0269	8.0	2104	0.0750	0.0750	0.1312	0.8249	0.93
0.0269	9.0	2367	0.0544	0.0544	0.0998	0.8731	0.95
0.0218	10.0	2630	0.0680	0.0680	0.1031	0.8413	0.93
0.0218	11.0	2893	0.0486	0.0486	0.1015	0.8867	0.9533
0.0141	12.0	3156	0.0582	0.0582	0.1056	0.8643	0.95
0.0141	13.0	3419	0.0494	0.0494	0.0832	0.8847	0.9533
0.0112	14.0	3682	0.0561	0.0561	0.0927	0.8690	0.9467
0.0112	15.0	3945	0.0576	0.0576	0.0833	0.8656	0.9467
0.0064	16.0	4208	0.0639	0.0639	0.0972	0.8509	0.9467
0.0064	17.0	4471	0.0657	0.0657	0.0971	0.8467	0.9367
0.0052	18.0	4734	0.0718	0.0718	0.0912	0.8325	0.94
0.0052	19.0	4997	0.0689	0.0689	0.0883	0.8392	0.94
0.0031	20.0	5260	0.0601	0.0601	0.0816	0.8598	0.9433

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: albert
License: apache-2.0
Created: Apr 19, 2023
Updated: Apr 19, 2023