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6_epochs_camembert – AI Model by bjubert | AlphaNeural AI
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6_epochs_camembert
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transformers
pytorch
tensorboard
camembert
token-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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6_epochs_camembert
This model is a fine-tuned version of
Jean-Baptiste/camembert-ner
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0932
eval_overall_precision: 0.8072
eval_overall_recall: 0.8431
eval_overall_f1: 0.8248
eval_overall_accuracy: 0.9778
eval_ER_f1: 0.8520
eval_OC_f1: 0.8029
eval_umanProd_f1: 0.6333
eval_runtime: 120.9649
eval_samples_per_second: 20.246
eval_steps_per_second: 1.273
epoch: 6.0
step: 3678
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: 6
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cpu
Datasets 2.7.1
Tokenizers 0.13.2
