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camembert-base-finetuned-sentence-simplification-fr – AI Model by celinely | AlphaNeural AI
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camembert-base-finetuned-sentence-simplification-fr
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transformers
pytorch
tensorboard
encoder-decoder
text2text-generation
generated_from_trainer
endpoints_compatible
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camembert-base-finetuned-sentence-simplification-fr
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0001
Rouge1: 100.0
Rouge2: 100.0
Rougel: 100.0
Rougelsum: 100.0
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: 32
eval_batch_size: 32
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
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
0.0202
1.0
167
0.0006
99.978
99.9587
99.978
99.978
0.0034
2.0
334
0.0001
100.0
100.0
100.0
100.0
0.0019
3.0
501
0.0001
100.0
100.0
100.0
100.0
Framework versions
Transformers 4.23.1
Pytorch 1.12.1+cu102
Datasets 2.6.1
Tokenizers 0.13.1
