memo3_ND – AI Model by yemen2016 | AlphaNeural AI

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yemen2016/
memo3_ND

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text-classification

generated_from_trainer

MiMe-MeMo/MeMo-BERT-03

autotrain_compatible

endpoints_compatible

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memo3_ND

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: 0.5131
F1-score: 0.8634

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1-score
0.1986	1.0	1177	0.4906	0.8009
0.187	2.0	2354	0.5147	0.7915
0.172	3.0	3531	0.5131	0.8634
0.1868	4.0	4708	0.5832	0.7950
0.1653	5.0	5885	0.5538	0.8530
0.1585	6.0	7062	0.4072	0.8625
0.1637	7.0	8239	0.5193	0.8417
0.1514	8.0	9416	0.5005	0.8508
0.151	9.0	10593	0.5406	0.8521
0.159	10.0	11770	0.5156	0.8533

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1