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xlm-roberta-base-finetuned-panx-de-fr – AI Model by paww | AlphaNeural AI
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xlm-roberta-base-finetuned-panx-de-fr
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transformers
pytorch
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: 0.1612
F1: 0.8607
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
0.2916
1.0
715
0.1794
0.8118
0.146
2.0
1430
0.1763
0.8413
0.0942
3.0
2145
0.1612
0.8607
Framework versions
Transformers 4.31.0
Pytorch 2.1.0.dev20230810
Datasets 2.14.3
Tokenizers 0.13.3
