MeMo_BERT-SA_01 – AI Model by yemen2016 | AlphaNeural AI

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yemen2016/
MeMo_BERT-SA_01

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text-classification

generated_from_trainer

MiMe-MeMo/MeMo-BERT-03

autotrain_compatible

endpoints_compatible

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MeMo_BERT-SA

This model is a fine-tuned version of MiMe-MeMo/MeMo-BERT-03 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5938
F1-score: 0.7727

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: 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	F1-score
No log	1.0	265	0.5938	0.7727
0.591	2.0	530	0.9487	0.7515
0.591	3.0	795	1.1555	0.7375
0.1867	4.0	1060	1.2892	0.7773
0.1867	5.0	1325	1.3791	0.7929
0.0582	6.0	1590	1.5941	0.7810
0.0582	7.0	1855	1.8173	0.7751
0.0166	8.0	2120	1.7725	0.7885
0.0166	9.0	2385	1.7669	0.7939
0.0102	10.0	2650	1.7915	0.7933
0.0102	11.0	2915	1.9139	0.7848
0.0088	12.0	3180	1.9446	0.7816
0.0088	13.0	3445	1.9794	0.7793
0.0124	14.0	3710	1.9904	0.7946
0.0124	15.0	3975	2.0188	0.7831
0.0095	16.0	4240	2.0517	0.7850
0.0001	17.0	4505	2.0427	0.7793
0.0001	18.0	4770	2.0205	0.7902
0.0	19.0	5035	2.0280	0.7847
0.0	20.0	5300	2.0466	0.7793

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1