Hugging Face's logo

devhem
/
LLMGUARD

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Community
LLMGUARD / README.md
devhem's picture
devhem
Model save
d9acf58 verified
preview code
|
raw
history blame
1.95 kB
metadata
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: LLMGUARD
    results: []

LLMGUARD

This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6824
  • Accuracy: 0.7670

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-06
  • train_batch_size: 32
  • eval_batch_size: 8
  • 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
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 6
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.9725 1.0 876 1.0953 0.6834
0.9389 2.0 1752 0.7982 0.7514
0.7549 3.0 2628 0.7214 0.7647
0.6895 4.0 3504 0.6963 0.7680
0.6712 5.0 4380 0.6856 0.7664
0.653 6.0 5256 0.6824 0.7670

Framework versions

  • Transformers 4.48.0.dev0
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0