Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
distilbert-base-uncased-finetuned-wine-ner – AI Model by otfoar | AlphaNeural AI | AlphaNeural AI
You can deploy this model and start earning money today!
otfoar
/
distilbert-base-uncased-finetuned-wine-ner
like
0
transformers
safetensors
distilbert
token-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
distilbert-base-uncased-finetuned-wine-ner
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1771
Precision: 0.9248
Recall: 0.9278
F1: 0.9263
Accuracy: 0.9504
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_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
0.4585
1.0
500
0.2146
0.8735
0.9005
0.8868
0.9302
0.2082
2.0
1000
0.1828
0.9108
0.9261
0.9184
0.9461
0.1451
3.0
1500
0.1771
0.9248
0.9278
0.9263
0.9504
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cpu
Datasets 4.0.0
Tokenizers 0.22.2
