Hugging Face's logo

devinitorg
/
cdp-multi-classifier-weighted

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
cdp-multi-classifier-weighted / README.md
alex-miller's picture
alex-miller
End of training
e5e1e00 verified
preview code
|
raw
history blame
1.55 kB
metadata
license: apache-2.0
base_model: alex-miller/ODABert
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - precision
  - recall
model-index:
  - name: cdp-multi-classifier-weighted
    results: []

cdp-multi-classifier-weighted

This model is a fine-tuned version of alex-miller/ODABert on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 6.1201
  • Accuracy: 0.9152
  • F1: 0.6681
  • Precision: 0.5979
  • Recall: 0.7570

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: 1e-06
  • 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: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
18.2438 1.0 8130 6.1201 0.9152 0.6681 0.5979 0.7570

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1