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xlm-roberta-base-finetuned-panx-de – AI Model by haru101 | AlphaNeural AI
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xlm-roberta-base-finetuned-panx-de
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tensorboard
safetensors
xlm-roberta
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
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xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of
xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1367
F1: 0.8600
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
0.261
1.0
525
0.1522
0.8317
0.1277
2.0
1050
0.1398
0.8528
0.0804
3.0
1575
0.1367
0.8600
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.4.1+cu124
Datasets 2.17.1
Tokenizers 0.19.1
