distil-person-content-TD5 – AI Model by EthanVie | AlphaNeural AI

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EthanVie/
distil-person-content-TD5

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token-classification

generated_from_trainer

distilbert/distilbert-base-cased

endpoints_compatible

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distil-person-content-TD5

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

Loss: 0.0557
Precision: 0.8927
Recall: 0.8971
F1: 0.8949
Accuracy: 0.9867

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1181	1.0	293	0.0609	0.8505	0.8088	0.8291	0.9807
0.0316	2.0	586	0.0646	0.8918	0.8480	0.8693	0.9853
0.0137	3.0	879	0.0583	0.87	0.8529	0.8614	0.9851
0.0056	4.0	1172	0.0531	0.9015	0.8971	0.8993	0.9868
0.0019	5.0	1465	0.0557	0.8927	0.8971	0.8949	0.9867

Framework versions

Transformers 4.56.0
Pytorch 2.8.0+cpu
Datasets 4.0.0
Tokenizers 0.22.0