Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
test-ner – AI Model by fredjaoko | AlphaNeural AI
You can deploy this model and start earning money today!
fredjaoko
/
test-ner
like
0
transformers
tensorboard
safetensors
deberta-v2
token-classification
generated_from_trainer
microsoft/deberta-v3-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Visualize in Weights & Biases
test-ner
This model is a fine-tuned version of
microsoft/deberta-v3-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1608
Precision: 0.8335
Recall: 0.8535
F1: 0.8434
Accuracy: 0.9650
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.1261
1.0
1274
0.1797
0.8049
0.8044
0.8047
0.9571
0.069
2.0
2548
0.1500
0.8278
0.8303
0.8290
0.9646
0.0465
3.0
3822
0.1608
0.8335
0.8535
0.8434
0.9650
Framework versions
Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
