p_model_2 – AI Model by Habaznya | AlphaNeural AI

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Habaznya/
p_model_2

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text-classification

generated_from_trainer

distilbert/distilbert-base-multilingual-cased

autotrain_compatible

endpoints_compatible

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p_model_2

This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4648
Accuracy: 0.8717

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: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8037	1.0	832	0.5854	0.7853
0.4857	2.0	1664	0.4879	0.8249
0.4191	3.0	2496	0.4377	0.8522
0.3187	4.0	3328	0.4219	0.8585
0.2514	5.0	4160	0.4561	0.8612
0.2461	6.0	4992	0.4676	0.8660
0.1863	7.0	5824	0.4648	0.8717

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1