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camenBERT – AI Model by clairedhx | AlphaNeural AI
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clairedhx
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camenBERT
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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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camenBERT
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: 0.5023
Precision: 0.9645
Recall: 0.9718
F1: 0.9681
Accuracy: 0.9709
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: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.6427
1.0
1782
0.5023
0.9645
0.9718
0.9681
0.9709
Framework versions
Transformers 4.40.0
Pytorch 2.2.2+cu121
Datasets 2.19.0
Tokenizers 0.19.1
