Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
deberta-v3-base-ner-ontonotes5 – AI Model by longhoang01 | AlphaNeural AI
You can deploy this model and start earning money today!
longhoang01
/
deberta-v3-base-ner-ontonotes5
like
0
transformers
safetensors
deberta-v2
token-classification
generated_from_trainer
microsoft/deberta-v3-base
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
deberta-v3-base-ner-ontonotes5
This model is a fine-tuned version of
microsoft/deberta-v3-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0718
Precision: 0.8889
Recall: 0.9124
F1: 0.9005
Accuracy: 0.9827
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: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.078
1.0
7491
0.0807
0.8466
0.8888
0.8672
0.9773
0.0589
2.0
14982
0.0773
0.8628
0.9010
0.8815
0.9801
0.033
3.0
22473
0.0811
0.8727
0.8989
0.8856
0.9802
Framework versions
Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1
