Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
xlm-roberta-base-finetuned-panx-de-fr – AI Model by AlexanderHuels | AlphaNeural AI
You can deploy this model and start earning money today!
AlexanderHuels
/
xlm-roberta-base-finetuned-panx-de-fr
like
0
transformers
safetensors
xlm-roberta
token-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
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: 0.1642
F1: 0.8480
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: 2e-05
train_batch_size: 96
eval_batch_size: 96
seed: 42
optimizer: Use OptimizerNames.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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1
No log
1.0
179
0.2087
0.7993
No log
2.0
358
0.1774
0.8302
No log
3.0
537
0.1667
0.8382
0.2403
4.0
716
0.1630
0.8437
0.2403
5.0
895
0.1642
0.8480
Framework versions
Transformers 4.47.1
Pytorch 2.4.0+cu124
Datasets 3.3.2
Tokenizers 0.21.1
