distilbert-base-uncased-07092025 – AI Model by KunleO | AlphaNeural AI

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distilbert-base-uncased-07092025

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distilbert/distilbert-base-uncased

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distilbert-base-uncased-07092025

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

Loss: 0.1801
Model Preparation Time: 0.0024

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time
0.8652	1.0	61	0.4298	0.0024
0.4124	2.0	122	0.2752	0.0024
0.2998	3.0	183	0.2139	0.0024
0.2771	4.0	244	0.2157	0.0024
0.2495	5.0	305	0.1999	0.0024
0.2324	6.0	366	0.1916	0.0024
0.2212	7.0	427	0.2286	0.0024
0.2141	8.0	488	0.2138	0.0024
0.2137	9.0	549	0.2307	0.0024
0.2123	10.0	610	0.1943	0.0024

Framework versions

Transformers 4.48.1
Pytorch 2.5.1
Datasets 3.2.0
Tokenizers 0.21.0