Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-finetuned-pos – AI Model by arygx | AlphaNeural AI
You can deploy this model and start earning money today!
arygx
/
distilbert-base-uncased-finetuned-pos
like
0
transformers
pytorch
tensorboard
safetensors
distilbert
token-classification
generated_from_trainer
conll2003
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
distilbert-base-uncased-finetuned-pos
This model is a fine-tuned version of
distilbert-base-uncased
on the conll2003 dataset. It achieves the following results on the evaluation set:
Loss: 0.3227
Precision: 0.9093
Recall: 0.9131
F1: 0.9112
Accuracy: 0.9241
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
0.803
1.0
878
0.3597
0.8983
0.9039
0.9011
0.9171
0.254
2.0
1756
0.3283
0.9067
0.9096
0.9082
0.9225
0.2079
3.0
2634
0.3227
0.9093
0.9131
0.9112
0.9241
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
