Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
test_named_entity_recognition – AI Model by luckylzn | AlphaNeural AI
You can deploy this model and start earning money today!
luckylzn
/
test_named_entity_recognition
like
0
tensorboard
safetensors
distilbert
generated_from_trainer
distilbert/distilbert-base-cased
finetune
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
test_named_entity_recognition
This model is a fine-tuned version of
distilbert/distilbert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2905
Precision: 0.4308
Recall: 0.4271
F1: 0.4289
Accuracy: 0.9100
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: 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
No log
1.0
56
0.3548
0.2857
0.0206
0.0384
0.8774
No log
2.0
112
0.2996
0.4243
0.3894
0.4061
0.9061
No log
3.0
168
0.2905
0.4308
0.4271
0.4289
0.9100
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
