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xlm-roberta-base-finetuned-panx-ko – AI Model by psh3333 | AlphaNeural AI
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psh3333
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xlm-roberta-base-finetuned-panx-ko
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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-ko
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: 0.1554
F1: 0.8722
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
0.3143
1.0
784
0.1900
0.8201
0.1636
2.0
1568
0.1610
0.8542
0.1065
3.0
2352
0.1554
0.8722
Framework versions
Transformers 4.16.2
Pytorch 2.6.0+cu124
Datasets 1.16.1
Tokenizers 0.21.2