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xlm-roberta-base-finetuned-panx-fr – AI Model by reza-bagheri | AlphaNeural AI
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reza-bagheri
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xlm-roberta-base-finetuned-panx-fr
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pytorch
xlm-roberta
generated_from_trainer
mit
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xlm-roberta-base-finetuned-panx-fr
This model is a fine-tuned version of
xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2703
F1: 0.8482
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: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
No log
1.0
191
0.3184
0.7987
No log
2.0
382
0.2918
0.8259
0.3408
3.0
573
0.2703
0.8482
Framework versions
Transformers 4.16.2
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2
