Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
my_awesome_wnut_model – AI Model by emmanuelq2 | AlphaNeural AI
You can deploy this model and start earning money today!
emmanuelq2
/
my_awesome_wnut_model
like
0
transformers
pytorch
distilbert
token-classification
generated_from_trainer
wnut_17
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
my_awesome_wnut_model
This model is a fine-tuned version of
distilbert-base-uncased
on the wnut_17 dataset. It achieves the following results on the evaluation set:
Loss: 0.2698
Precision: 0.5835
Recall: 0.3142
F1: 0.4084
Accuracy: 0.9424
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
213
0.2813
0.5596
0.2261
0.3221
0.9384
No log
2.0
426
0.2698
0.5835
0.3142
0.4084
0.9424
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
