nlp

mileRis/nlp

nlp is a token classification model from mileRis. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: camembert
Access: Public
Created: Mar 27, 2025
Updated: Mar 27, 2025
SHA: 2f25db5b

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Base models

Model card

From the Hugging Face model README

nlp

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

Loss: 0.0207
Precision: 0.0
Recall: 0.0
F1: 0.0
Accuracy: 0.9976

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 OptimizerNames.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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	160	0.0338	0.9971
No log	2.0	320	0.0266	0.9977
No log	3.0	480	0.0230	0.9975
0.0359	4.0	640	0.0212	0.9976
0.0359	5.0	800	0.0207	0.9976

Framework versions

Transformers 4.50.0
Pytorch 2.6.0+cu124
Tokenizers 0.21.1

Task: Token Classification
Library: transformers
Type: camembert
License: mit
Created: Mar 27, 2025
Updated: Mar 27, 2025