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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: distilbert-base-uncased__sst2__train-32-9
    results: []

distilbert-base-uncased__sst2__train-32-9

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5625
  • Accuracy: 0.7353

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.7057 1.0 13 0.6805 0.5385
0.6642 2.0 26 0.6526 0.7692
0.5869 3.0 39 0.5773 0.8462
0.4085 4.0 52 0.4959 0.8462
0.2181 5.0 65 0.4902 0.6923
0.069 6.0 78 0.5065 0.8462
0.0522 7.0 91 0.6082 0.7692
0.0135 8.0 104 0.6924 0.7692
0.0084 9.0 117 0.5921 0.7692
0.0061 10.0 130 0.6477 0.7692
0.0047 11.0 143 0.6648 0.7692
0.0035 12.0 156 0.6640 0.7692
0.0031 13.0 169 0.6615 0.7692
0.0029 14.0 182 0.6605 0.7692
0.0026 15.0 195 0.6538 0.8462

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.10.2+cu102
  • Datasets 1.18.2
  • Tokenizers 0.10.3