Edit model card

workornot

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: 0.3372
  • Accuracy: 0.856

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 125 0.6385 0.787
No log 2.0 250 0.5578 0.808
No log 3.0 375 0.4489 0.818
0.5423 4.0 500 0.3610 0.843
0.5423 5.0 625 0.3374 0.855
0.5423 6.0 750 0.3365 0.854
0.5423 7.0 875 0.3331 0.857
0.3101 8.0 1000 0.3359 0.857
0.3101 9.0 1125 0.3377 0.855
0.3101 10.0 1250 0.3372 0.856

Framework versions

  • PEFT 0.8.2
  • Transformers 4.39.0.dev0
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2
Downloads last month
7
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for MaggieZhang/workornot

Adapter
(190)
this model