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xlm-roberta-base-finetuned-panx-fr – AI Model by jfmatos-isq | AlphaNeural AI
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xlm-roberta-base-finetuned-panx-fr
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transformers
pytorch
xlm-roberta
token-classification
generated_from_trainer
xtreme
mit
model-index
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-finetuned-panx-fr
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: 0.2760
F1: 0.8399
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
0.5769
1.0
191
0.3299
0.7849
0.2598
2.0
382
0.2826
0.8259
0.1665
3.0
573
0.2760
0.8399
Framework versions
Transformers 4.13.0
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.10.3
