memo_ND – AI Model by yemen2016 | AlphaNeural AI

You can deploy this model and start earning money today!

yemen2016/
memo_ND

like

0

text-classification

generated_from_trainer

MiMe-MeMo/MeMo-BERT-03

autotrain_compatible

endpoints_compatible

Views

No views yet

memo_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: 0.3100
F1-score: 0.9021

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
No log	1.0	223	0.3100	0.9021
No log	2.0	446	0.3473	0.8991
0.2918	3.0	669	0.5325	0.8914
0.2918	4.0	892	0.6119	0.8819
0.1085	5.0	1115	0.5423	0.8920
0.1085	6.0	1338	0.5977	0.8861
0.0701	7.0	1561	0.5991	0.8991
0.0701	8.0	1784	0.7600	0.8636
0.0381	9.0	2007	0.7346	0.8671
0.0381	10.0	2230	0.7637	0.8629

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1