Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
WITHINAPPS_NDD-ppma_test-tags – AI Model by lgk03 | AlphaNeural AI
You can deploy this model and start earning money today!
lgk03
/
WITHINAPPS_NDD-ppma_test-tags
like
0
transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
WITHINAPPS_NDD-ppma_test-tags
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: 0.2233
Accuracy: 0.8795
F1: 0.8231
Precision: 0.7735
Recall: 0.8795
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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
Accuracy
F1
Precision
Recall
No log
0.9836
30
0.2424
0.8795
0.8231
0.7735
0.8795
No log
1.9672
60
0.2233
0.8795
0.8231
0.7735
0.8795
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
