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xlm-roberta-base-finetuned-panx-de – AI Model by nerdai | AlphaNeural AI
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nerdai
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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
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: 0.1502
F1: 0.8666
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: 13
eval_batch_size: 13
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
0.2577
1.0
968
0.1638
0.8190
0.1303
2.0
1936
0.1428
0.8526
0.0795
3.0
2904
0.1502
0.8666
Framework versions
Transformers 4.11.3
Pytorch 1.13.1+cu117
Datasets 1.16.1
Tokenizers 0.10.3
