uncased-clf-digimag_v3 – AI Model by soltaniali | AlphaNeural AI

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soltaniali/
uncased-clf-digimag_v3

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text-classification

generated_from_trainer

HooshvareLab/bert-fa-base-uncased-clf-digimag

autotrain_compatible

endpoints_compatible

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uncased-clf-digimag_v3

This model is a fine-tuned version of HooshvareLab/bert-fa-base-uncased-clf-digimag on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.2930
Accuracy: 0.6481
F1: 0.6481
Precision: 0.6526

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: 1e-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	Accuracy	F1	Precision
No log	1.0	221	1.1058	0.5199	0.4953	0.5440
No log	2.0	442	0.9655	0.6220	0.6234	0.6304
1.0805	3.0	663	0.9397	0.6583	0.6591	0.6626
1.0805	4.0	884	0.9880	0.6515	0.6522	0.6720
0.6186	5.0	1105	1.0279	0.6459	0.6457	0.6510
0.6186	6.0	1326	1.1051	0.6527	0.6503	0.6595
0.3378	7.0	1547	1.1496	0.6640	0.6632	0.6776
0.3378	8.0	1768	1.2252	0.6583	0.6569	0.6614
0.3378	9.0	1989	1.2706	0.6459	0.6459	0.6492
0.1804	10.0	2210	1.2930	0.6481	0.6481	0.6526

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2