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camembert_base_finetunned_one_thema_balanced_5_epochs – AI Model by dev-senolys | AlphaNeural AI
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dev-senolys
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camembert_base_finetunned_one_thema_balanced_5_epochs
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transformers
pytorch
tensorboard
camembert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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camembert_base_finetunned_one_thema_balanced_5_epochs
This model is a fine-tuned version of
camembert-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.7778
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
116
2.3340
No log
2.0
232
2.0439
No log
3.0
348
1.8438
No log
4.0
464
1.8124
1.9931
5.0
580
1.7778
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
