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metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: distilbert_distilbert-base-uncased-15-epoch
    results: []

distilbert_distilbert-base-uncased-15-epoch

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: 6.5739
  • Accuracy: 0.4129

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.2998 1.0 5714 1.3409 0.3419
1.1366 2.0 11428 1.3753 0.3634
0.9035 3.0 17142 1.4999 0.3794
0.6883 4.0 22856 1.7468 0.3906
0.5177 5.0 28570 2.1011 0.3997
0.3968 6.0 34284 2.2910 0.4009
0.2936 7.0 39998 2.8000 0.4121
0.2403 8.0 45712 2.7002 0.4086
0.1843 9.0 51426 3.4014 0.4160
0.1478 10.0 57140 3.5690 0.4057
0.1231 11.0 62854 4.3858 0.4102
0.1027 12.0 68568 4.6814 0.4124
0.0897 13.0 74282 4.9962 0.4186
0.0823 14.0 79996 6.0199 0.4160
0.0631 15.0 85710 6.5739 0.4129

Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 2.2.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.0