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camembert-base-finetuned-piaf – AI Model by Gilchrist | AlphaNeural AI
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Gilchrist
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camembert-base-finetuned-piaf
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transformers
tensorboard
safetensors
camembert
question-answering
generated_from_trainer
piaf
almanach/camembert-base
finetune
mit
endpoints_compatible
us
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camembert-base-finetuned-piaf
This model is a fine-tuned version of
camembert-base
on the piaf dataset.
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: 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: 3
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
