memobert_NC – AI Model by yemen2016 | AlphaNeural AI

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yemen2016/
memobert_NC

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text-classification

generated_from_trainer

MiMe-MeMo/MeMo-BERT-03

autotrain_compatible

endpoints_compatible

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memobert_NC

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: 0.3259
F1-score: 0.8947

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: 16
eval_batch_size: 16
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	40	0.3862	0.7719
No log	2.0	80	0.3259	0.8947
No log	3.0	120	0.3613	0.8725
No log	4.0	160	0.3348	0.8947
No log	5.0	200	0.4362	0.8615
No log	6.0	240	0.3633	0.8902
No log	7.0	280	0.3475	0.8921
No log	8.0	320	0.4318	0.8835
No log	9.0	360	0.4266	0.8812
No log	10.0	400	0.4330	0.8902

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1