Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-lora-text-classification – AI Model by lunablue | AlphaNeural AI
You can deploy this model and start earning money today!
lunablue
/
distilbert-base-uncased-lora-text-classification
like
0
peft
safetensors
generated_from_trainer
distilbert/distilbert-base-uncased
adapter
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
distilbert-base-uncased-lora-text-classification
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5645
Accuracy: {'accuracy': 0.885}
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: 0.001
train_batch_size: 3
eval_batch_size: 3
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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
Accuracy
No log
1.0
334
0.5487
{'accuracy': 0.863}
0.4823
2.0
668
0.4822
{'accuracy': 0.884}
0.2578
3.0
1002
0.5645
{'accuracy': 0.885}
Framework versions
PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.5.1+cpu
Datasets 3.1.0
Tokenizers 0.21.0
