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results – AI Model by aicanahmet | AlphaNeural AI
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transformers
safetensors
xlm-roberta
token-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
endpoints_compatible
us
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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: 0.1426
F1: 0.8606
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: 16
eval_batch_size: 16
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.2574
1.0
787
0.1685
0.8179
0.1285
2.0
1574
0.1391
0.8512
0.0769
3.0
2361
0.1426
0.8606
Framework versions
Transformers 4.46.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.20.3
