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xlm-roberta-base-finetuned-panx-de – AI Model by datgtr | AlphaNeural AI
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xlm-roberta-base-finetuned-panx-de
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transformers
pytorch
xlm-roberta
generated_from_trainer
xtreme
FacebookAI/xlm-roberta-base
finetune
mit
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: 0.1367
F1: 0.8635
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
0.2531
1.0
525
0.1512
0.8290
0.1239
2.0
1050
0.1450
0.8492
0.0774
3.0
1575
0.1367
0.8635
Framework versions
Transformers 4.31.0
Pytorch 2.0.1
Datasets 2.14.4
Tokenizers 0.13.3
