Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
xml_Large_classification – AI Model by bola23 | AlphaNeural AI
You can deploy this model and start earning money today!
bola23
/
xml_Large_classification
like
0
transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
FacebookAI/xlm-roberta-large
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
xml_Large_classification
This model is a fine-tuned version of
xlm-roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0014
Accuracy: 1.0
F1: 1.0
Precision: 1.0
Recall: 1.0
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: 32
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.2177
1.0
147
0.0779
1.0
1.0
1.0
1.0
0.0417
2.0
294
0.0014
1.0
1.0
1.0
1.0
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
