Regression_albert_9_with_translation

Svetlana0303/Regression_albert_9_with_translation

Regression_albert_9_with_translation 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. --

Downloads · 30 days

34% of all-time downloads

All-time downloads

Public

Repo size

514 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin46.8 MB · 95%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: albert
Access: Public
Created: Apr 2, 2023
Updated: Apr 2, 2023
SHA: 026ba5f6

Try a prompt

Model card

From the Hugging Face model README

Regression_albert_9_with_translation

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: 0.3629
Mse: 0.3629
Mae: 0.4551
R2: 0.1650
Accuracy: 0.6333

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	53	0.3421	0.3421	0.4573	0.2292	0.6167
No log	2.0	106	0.2617	0.2617	0.3888	0.4104	0.6667
No log	3.0	159	0.2117	0.2117	0.3422	0.5230	0.7667
No log	4.0	212	0.3250	0.3250	0.4990	0.2677	0.55
No log	5.0	265	0.2494	0.2494	0.3321	0.4380	0.7167
No log	6.0	318	0.2477	0.2477	0.3488	0.4419	0.75
No log	7.0	371	0.3209	0.3209	0.3599	0.2770	0.7833
No log	8.0	424	0.2704	0.2704	0.3715	0.3909	0.7
No log	9.0	477	0.2886	0.2886	0.3185	0.3498	0.7833
0.1507	10.0	530	0.2477	0.2477	0.3071	0.4418	0.7667
0.1507	11.0	583	0.2670	0.2670	0.3232	0.3984	0.7833
0.1507	12.0	636	0.2285	0.2285	0.2926	0.4851	0.75
0.1507	13.0	689	0.2378	0.2378	0.2980	0.4643	0.7833
0.1507	14.0	742	0.2544	0.2544	0.3194	0.4269	0.7667
0.1507	15.0	795	0.2571	0.2571	0.2904	0.4208	0.8
0.1507	16.0	848	0.2505	0.2505	0.2884	0.4357	0.8
0.1507	17.0	901	0.2654	0.2654	0.2846	0.4022	0.8
0.1507	18.0	954	0.2606	0.2606	0.2785	0.4128	0.8
0.0203	19.0	1007	0.2519	0.2519	0.2816	0.4324	0.8
0.0203	20.0	1060	0.2634	0.2634	0.2826	0.4065	0.8

Framework versions

Transformers 4.27.4
Pytorch 1.13.1+cu116
Datasets 2.11.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: albert
License: apache-2.0
Created: Apr 2, 2023
Updated: Apr 2, 2023