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xlm-roberta-base-finetuned-panx-de – AI Model by RyotaBannai | AlphaNeural AI
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RyotaBannai
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xlm-roberta-base-finetuned-panx-de
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pytorch
tensorboard
xlm-roberta
generated_from_trainer
mit
us
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xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of
xlm-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1578
F1: 0.8497
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: 96
eval_batch_size: 96
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
No log
1.0
179
0.1945
0.8075
No log
2.0
358
0.1616
0.8408
No log
3.0
537
0.1578
0.8497
Framework versions
Transformers 4.16.2
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.21.4
