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NLP_projet – AI Model by clairedhx | AlphaNeural AI
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clairedhx
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NLP_projet
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transformers
safetensors
camembert
token-classification
generated_from_trainer
almanach/camembert-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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NLP_projet
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: 0.5036
Precision: 0.9590
Recall: 0.9634
F1: 0.9612
Accuracy: 0.9636
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
1.7382
1.0
955
0.7058
0.9442
0.9551
0.9496
0.9554
0.6625
2.0
1910
0.5036
0.9590
0.9634
0.9612
0.9636
Framework versions
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
