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camembert-xnli-fr – AI Model by MaxLaMenass | AlphaNeural AI
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MaxLaMenass
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camembert-xnli-fr
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transformers
safetensors
camembert
text-classification
generated_from_trainer
fr
almanach/camembert-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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camembert-base-finetuned-xnli-fr
This model is a fine-tuned version of
camembert-base
on the xnli dataset. It achieves the following results on the evaluation set:
Loss: 0.6418
Accuracy: 0.8185
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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5186
1.0
12272
0.5140
0.7984
0.4255
2.0
24544
0.5094
0.8116
0.3533
3.0
36816
0.5803
0.8024
0.2965
4.0
49088
0.5997
0.8137
0.244
5.0
61360
0.6418
0.8185
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
