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xlm-roberta-base-finetuned-panx-de-fr – AI Model by andreaschandra | AlphaNeural AI
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andreaschandra
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xlm-roberta-base-finetuned-panx-de-fr
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transformers
pytorch
xlm-roberta
token-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-finetuned-panx-de-fr
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: 0.1619
F1: 0.8599
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
0.2851
1.0
715
0.1792
0.8239
0.149
2.0
1430
0.1675
0.8401
0.0955
3.0
2145
0.1619
0.8599
Framework versions
Transformers 4.19.4
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
