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xlm-roberta-base-finetuned-panx-de-fr – AI Model by yangqiuyu | AlphaNeural AI
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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
autotrain_compatible
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: 0.1792
F1: 0.8614
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: 12
eval_batch_size: 12
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
0.2809
1.0
1430
0.1964
0.8216
0.1521
2.0
2860
0.1782
0.8439
0.0958
3.0
4290
0.1792
0.8614
Framework versions
Transformers 4.45.0
Pytorch 2.4.1+cu124
Datasets 3.0.0
Tokenizers 0.20.3
