camembert-job-classifier – AI Model by leocooo | AlphaNeural AI

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leocooo/
camembert-job-classifier

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text-classification

generated_from_trainer

almanach/camembert-base

text-embeddings-inference

endpoints_compatible

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camembert-job-classifier

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

Loss: 0.4709
Accuracy: 0.9187
F1 Macro: 0.9066
F1 Mission: 0.8730
F1 Other: 0.9402
Recall Mission: 0.9467

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: 64
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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	F1 Mission	F1 Other	Recall Mission
No log	1.0	253	0.4101	0.9266	0.9144	0.8820	0.9467	0.9302
0.5546	2.0	506	0.4117	0.9244	0.9124	0.8799	0.9449	0.9385
0.5546	3.0	759	0.4709	0.9187	0.9066	0.8730	0.9402	0.9467

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2