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classifier-camembert – AI Model by DioulaD | AlphaNeural AI

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DioulaD/
classifier-camembert

like

0

text-classification

generated_from_trainer

almanach/camembert-base-legacy

autotrain_compatible

endpoints_compatible

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classifier-camembert

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

Loss: 0.0009
Accuracy: 0.9

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: 0.0002
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 400

Framework versions

Transformers 4.39.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.17.1
Tokenizers 0.15.2