abdulmanaam's picture
End of training
8787ad6 verified
|
raw
history blame
1.66 kB
metadata
license: mit
base_model: microsoft/deberta-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: deberta-base-clickbait-post-content-200
    results: []

deberta-base-clickbait-post-content-200

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

  • Loss: 0.8678
  • Accuracy: 0.74

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: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 200 0.7607 0.66
No log 2.0 400 0.6765 0.735
0.7461 3.0 600 0.7431 0.715
0.7461 4.0 800 0.7622 0.7575
0.3037 5.0 1000 0.8678 0.74

Framework versions

  • Transformers 4.44.0.dev0
  • Pytorch 2.4.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1