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
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Model tree for Boulou2107/comic-name-classification
Base model
google-bert/bert-base-multilingual-cased