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xlm-roberta-base-finetuned-panx-de – AI Model by GabrielG228 | AlphaNeural AI
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GabrielG228
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xlm-roberta-base-finetuned-panx-de
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pytorch
tensorboard
xlm-roberta
generated_from_trainer
xtreme
mit
model-index
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: 0.1376
F1: 0.8645
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
0.2592
1.0
525
0.1564
0.8196
0.1298
2.0
1050
0.1376
0.8472
0.0824
3.0
1575
0.1376
0.8645
Framework versions
Transformers 4.16.2
Pytorch 2.4.1+cu121
Datasets 1.16.1
Tokenizers 0.19.1
