ABSA-SentencePair-DAPT-HARDAR-bert-base-Camel-MSA-ru2

salohnana2018/ABSA-SentencePair-DAPT-HARDAR-bert-base-Camel-MSA-ru2

ABSA-SentencePair-DAPT-HARDAR-bert-base-Camel-MSA-ru2 is a text classification model from salohnana2018. 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: bert
Access: Public
Created: Mar 3, 2024
Updated: Mar 3, 2024
SHA: 37f6f509

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Base models

salohnana2018/CAMEL-BERT-MSA-domianAdaption-Single-ABSA-HARD

Model card

From the Hugging Face model README

ABSA-SentencePair-DAPT-HARDAR-bert-base-Camel-MSA-ru2

This model is a fine-tuned version of salohnana2018/CAMEL-BERT-MSA-domianAdaption-Single-ABSA-HARD on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1140
Accuracy: 0.8956
F1: 0.8956
Precision: 0.8956
Recall: 0.8956

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
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	F1	Precision	Recall
0.0556	1.0	265	0.0421	0.8842	0.8842	0.8842	0.8842
0.0372	2.0	530	0.0368	0.8828	0.8828	0.8828	0.8828
0.0231	3.0	795	0.0426	0.8828	0.8828	0.8828	0.8828
0.0145	4.0	1060	0.0601	0.8809	0.8809	0.8809	0.8809
0.0101	5.0	1325	0.0573	0.8842	0.8842	0.8842	0.8842
0.0076	6.0	1590	0.0621	0.8856	0.8856	0.8856	0.8856
0.0051	7.0	1855	0.0621	0.8866	0.8866	0.8866	0.8866
0.0044	8.0	2120	0.0709	0.8899	0.8899	0.8899	0.8899
0.0035	9.0	2385	0.0827	0.8899	0.8899	0.8899	0.8899
0.0028	10.0	2650	0.0895	0.8946	0.8946	0.8946	0.8946
0.0024	11.0	2915	0.0859	0.8908	0.8908	0.8908	0.8908
0.0021	12.0	3180	0.0897	0.8847	0.8847	0.8847	0.8847
0.0017	13.0	3445	0.0994	0.8989	0.8989	0.8989	0.8989
0.0014	14.0	3710	0.1056	0.8937	0.8937	0.8937	0.8937
0.0014	15.0	3975	0.1044	0.8941	0.8941	0.8941	0.8941
0.0012	16.0	4240	0.1105	0.8951	0.8951	0.8951	0.8951
0.0012	17.0	4505	0.1119	0.8956	0.8956	0.8956	0.8956
0.0011	18.0	4770	0.1088	0.8965	0.8965	0.8965	0.8965
0.001	19.0	5035	0.1132	0.8979	0.8979	0.8979	0.8979
0.001	20.0	5300	0.1140	0.8956	0.8956	0.8956	0.8956

Framework versions

Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 3, 2024
Updated: Mar 3, 2024