Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
ner-model-roberta – AI Model by alexia-allal | AlphaNeural AI
You can deploy this model and start earning money today!
alexia-allal
/
ner-model-roberta
like
0
transformers
tensorboard
safetensors
xlm-roberta
token-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
ner-model-roberta
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: 0.4245
Precision: 0.0
Recall: 0.0
F1: 0.0
Accuracy: 0.9594
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: 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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
3
0.4914
0.0
0.0
0.0
0.9594
No log
2.0
6
0.4245
0.0
0.0
0.0
0.9594
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
