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xlm-roberta-large – AI Model by tsubaki0x01 | AlphaNeural AI
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xlm-roberta-large
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peft
tensorboard
safetensors
generated_from_trainer
FacebookAI/xlm-roberta-large
adapter
mit
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xlm-roberta-large
This model is a fine-tuned version of
FacebookAI/xlm-roberta-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3847
Precision: 0.6043
Recall: 0.5938
F1: 0.5990
Accuracy: 0.8885
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: 16
eval_batch_size: 8
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
Training results
Framework versions
PEFT 0.15.2
Transformers 4.52.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
