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xlm-roberta-base-finetuned-panx-de – AI Model by kevin-allen | AlphaNeural AI
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kevin-allen
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xlm-roberta-base-finetuned-panx-de
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transformers
pytorch
xlm-roberta
token-classification
generated_from_trainer
xtreme
mit
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: 0.1359
F1: 0.8622
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
0.2602
1.0
525
0.1633
0.8254
0.1297
2.0
1050
0.1377
0.8435
0.0807
3.0
1575
0.1359
0.8622
Framework versions
Transformers 4.30.2
Pytorch 1.13.1+cu117
Datasets 2.13.2
Tokenizers 0.13.3
