darija_test3 – AI Model by smerchi | AlphaNeural AI

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smerchi/
darija_test3

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text-classification

generated_from_trainer

aubmindlab/bert-base-arabertv02

autotrain_compatible

endpoints_compatible

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darija_test3

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4497
Accuracy: 0.8177

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: 0.0003
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
lr_scheduler_warmup_ratio: 0.05
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4385	1.0	192	0.4618	0.8047
0.3433	2.0	384	0.4497	0.8177
0.6551	3.0	576	0.6499	0.6510
0.6284	4.0	768	0.6556	0.6510
0.6402	5.0	960	0.6473	0.6510
0.6538	6.0	1152	0.6470	0.6510
0.7309	7.0	1344	0.6477	0.6510
0.6416	8.0	1536	0.6472	0.6510
0.5665	9.0	1728	0.6625	0.6510
0.607	10.0	1920	0.6501	0.6510

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1