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xlm-roberta-base-finetuned-panx-de-fr – AI Model by jhagege | AlphaNeural AI
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jhagege
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xlm-roberta-base-finetuned-panx-de-fr
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transformers
pytorch
xlm-roberta
token-classification
generated_from_trainer
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: 0.1639
F1: 0.8590
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
0.2894
1.0
715
0.1794
0.8253
0.1468
2.0
1430
0.1554
0.8477
0.093
3.0
2145
0.1639
0.8590
Framework versions
Transformers 4.16.2
Pytorch 2.2.1+cu121
Datasets 1.16.1
Tokenizers 0.15.2
