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xlm-roberta-base-finetuned-panx-de-fr – AI Model by sergi24sanchez | AlphaNeural AI
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xlm-roberta-base-finetuned-panx-de-fr
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transformers
safetensors
xlm-roberta
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
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: 0.1624
F1: 0.8598
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.2805
1.0
715
0.1769
0.8254
0.1459
2.0
1430
0.1649
0.8471
0.0943
3.0
2145
0.1624
0.8598
Framework versions
Transformers 4.46.3
Pytorch 2.0.1+cu117
Datasets 3.1.0
Tokenizers 0.20.3
