distilbert-base-uncased-finetuned-ag-news-v3 – AI Model by miggwp | AlphaNeural AI

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miggwp/
distilbert-base-uncased-finetuned-ag-news-v3

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distilbert/distilbert-base-uncased

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distilbert-base-uncased-finetuned-ag-news-v3

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.9607

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.6843	1.0	1384	2.3139
2.3307	2.0	2768	2.1731
2.2279	3.0	4152	2.0905
2.1615	4.0	5536	2.0802
2.1111	5.0	6920	2.0125
2.0713	6.0	8304	2.0028
2.0435	7.0	9688	1.9912
2.0264	8.0	11072	1.9793
2.0109	9.0	12456	1.9679
2.0021	10.0	13840	1.9476

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1