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xlm-roberta-base-finetuned-panx-de – AI Model by NeelJ | AlphaNeural AI
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NeelJ
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xlm-roberta-base-finetuned-panx-de
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transformers
pytorch
tensorboard
xlm-roberta
token-classification
generated_from_trainer
xtreme
mit
model-index
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of
xlm-roberta-base
on the xtreme dataset. It achieves the following results on the evaluation set:
Loss: 0.1350
F1: 0.8626
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
0.2585
1.0
525
0.1580
0.8255
0.1282
2.0
1050
0.1381
0.8447
0.0805
3.0
1575
0.1350
0.8626
Framework versions
Transformers 4.16.2
Pytorch 2.3.0+cu121
Datasets 1.16.1
Tokenizers 0.19.1
