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xlm-roberta-base-finetuned-panx-de-fr – AI Model by cmhyo | AlphaNeural AI
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cmhyo
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xlm-roberta-base-finetuned-panx-de-fr
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transformers
safetensors
xlm-roberta
token-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
endpoints_compatible
us
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xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of
xlm-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1642
F1: 0.8610
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.2838
1.0
715
0.1718
0.8287
0.1447
2.0
1430
0.1607
0.8442
0.095
3.0
2145
0.1642
0.8610
Framework versions
Transformers 4.57.6
Pytorch 2.11.0+cu128
Datasets 5.0.1
Tokenizers 0.22.2
