Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
results – AI Model by Xojakbar | AlphaNeural AI
You can deploy this model and start earning money today!
Xojakbar
/
results
like
0
transformers
safetensors
xlm-roberta
token-classification
generated_from_trainer
uz
risqaliyevds/uzbek_ner
FacebookAI/xlm-roberta-large
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Uzbek NER model
This model is a fine-tuned version of
FacebookAI/xlm-roberta-large
on the Uzbek Ner dataset. It achieves the following results on the evaluation set:
Loss: 0.1542
Precision: 0.5799
Recall: 0.6318
F1: 0.6047
Accuracy: 0.9456
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: 8
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.5172
1.0
246
0.1644
0.5574
0.5631
0.5602
0.9434
0.1532
2.0
492
0.1551
0.5790
0.6188
0.5982
0.9453
0.143
2.9913
735
0.1542
0.5799
0.6318
0.6047
0.9456
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
