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comic-name-classification

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bert
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metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
metrics:
  - accuracy
base_model: bert-base-multilingual-cased
model-index:
  - name: comic-name-classification
    results: []

comic-name-classification

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

  • Loss: 0.0448
  • Accuracy: 0.9937

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: 0.000125
  • 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: 50

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 25 0.0317 0.9933
No log 2.0 50 0.0342 0.9933
No log 3.0 75 0.0339 0.9933
No log 4.0 100 0.0361 0.9941
No log 5.0 125 0.0367 0.9945
No log 6.0 150 0.0372 0.9941
No log 7.0 175 0.0388 0.9945
No log 8.0 200 0.0365 0.9941
No log 9.0 225 0.0359 0.9941
No log 10.0 250 0.0385 0.9941
No log 11.0 275 0.0380 0.9941
No log 12.0 300 0.0394 0.9937
No log 13.0 325 0.0389 0.9941
No log 14.0 350 0.0398 0.9941
No log 15.0 375 0.0398 0.9937
No log 16.0 400 0.0399 0.9941
No log 17.0 425 0.0419 0.9941
No log 18.0 450 0.0409 0.9941
No log 19.0 475 0.0415 0.9937
0.0037 20.0 500 0.0418 0.9941
0.0037 21.0 525 0.0430 0.9941
0.0037 22.0 550 0.0419 0.9941
0.0037 23.0 575 0.0434 0.9941
0.0037 24.0 600 0.0443 0.9941
0.0037 25.0 625 0.0447 0.9941
0.0037 26.0 650 0.0444 0.9937
0.0037 27.0 675 0.0438 0.9937
0.0037 28.0 700 0.0431 0.9941
0.0037 29.0 725 0.0426 0.9941
0.0037 30.0 750 0.0434 0.9941
0.0037 31.0 775 0.0442 0.9941
0.0037 32.0 800 0.0423 0.9941
0.0037 33.0 825 0.0423 0.9941
0.0037 34.0 850 0.0419 0.9941
0.0037 35.0 875 0.0422 0.9941
0.0037 36.0 900 0.0433 0.9941
0.0037 37.0 925 0.0434 0.9941
0.0037 38.0 950 0.0443 0.9941
0.0037 39.0 975 0.0449 0.9937
0.002 40.0 1000 0.0452 0.9937
0.002 41.0 1025 0.0459 0.9941
0.002 42.0 1050 0.0463 0.9941
0.002 43.0 1075 0.0449 0.9937
0.002 44.0 1100 0.0443 0.9941
0.002 45.0 1125 0.0442 0.9941
0.002 46.0 1150 0.0445 0.9941
0.002 47.0 1175 0.0446 0.9941
0.002 48.0 1200 0.0447 0.9937
0.002 49.0 1225 0.0448 0.9937
0.002 50.0 1250 0.0448 0.9937

Framework versions

  • PEFT 0.7.1
  • Transformers 4.37.0.dev0
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0