france_inter_trained_model – AI Model by SeaniMoxxu | AlphaNeural AI

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SeaniMoxxu/
france_inter_trained_model

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token-classification

generated_from_trainer

SeaniMoxxu/my_awesome_wnut_model

autotrain_compatible

endpoints_compatible

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france_inter_trained_model

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

Loss: 0.0282
Precision: 0.0
Recall: 0.0
F1: 0.0
Accuracy: 0.9925

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	50	0.0315	0.0	0.0	0.0	0.9933
No log	2.0	100	0.0238	0.0	0.0	0.0	0.9929
No log	3.0	150	0.0310	0.0	0.0	0.0	0.9921
No log	4.0	200	0.0234	0.0	0.0	0.0	0.9933
No log	5.0	250	0.0274	0.0	0.0	0.0	0.9925
No log	6.0	300	0.0279	0.0	0.0	0.0	0.9929
No log	7.0	350	0.0281	0.0	0.0	0.0	0.9925
No log	8.0	400	0.0252	0.0	0.0	0.0	0.9933
No log	9.0	450	0.0286	0.0	0.0	0.0	0.9921
0.0163	10.0	500	0.0282	0.0	0.0	0.0	0.9925

Framework versions

Transformers 4.56.0
Pytorch 2.8.0+cu129
Datasets 4.0.0
Tokenizers 0.22.0