camembert-base-nerd-fr – AI Model by EthanVie | AlphaNeural AI

You can deploy this model and start earning money today!

EthanVie/
camembert-base-nerd-fr

like

0

token-classification

generated_from_trainer

almanach/camembert-base

endpoints_compatible

Views

No views yet

camembert-base-nerd-fr

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

Loss: 0.0169
Precision: 0.0
Recall: 0.0
F1: 0.0
Accuracy: 0.9967

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

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	179	0.0473	0.0	0.0	0.0	0.9950
No log	2.0	358	0.0323	0.0	0.0	0.0	0.9960
0.0936	3.0	537	0.0265	0.0	0.0	0.0	0.9961
0.0936	4.0	716	0.0229	0.0	0.0	0.0	0.9964
0.0936	5.0	895	0.0209	0.0	0.0	0.0	0.9966
0.0236	6.0	1074	0.0192	0.0	0.0	0.0	0.9965
0.0236	7.0	1253	0.0182	0.0	0.0	0.0	0.9966
0.0236	8.0	1432	0.0176	0.0	0.0	0.0	0.9966
0.0169	9.0	1611	0.0171	0.0	0.0	0.0	0.9967
0.0169	10.0	1790	0.0169	0.0	0.0	0.0	0.9967

Framework versions

Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0