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Boulou2107
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comic-name-classification

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Safetensors
bert
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Boulou2107/comic-name-classification

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  1. README.md +51 -51
  2. adapter_model.safetensors +1 -1
  3. runs/Jan06_23-05-20_Boulou_Computer/events.out.tfevents.1704578721.Boulou_Computer.34744.3 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0445
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  - Accuracy: 0.9937
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  ## Model description
@@ -50,56 +50,56 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 25 | 0.0311 | 0.9933 |
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- | No log | 2.0 | 50 | 0.0330 | 0.9937 |
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- | No log | 3.0 | 75 | 0.0330 | 0.9933 |
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- | No log | 4.0 | 100 | 0.0350 | 0.9941 |
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- | No log | 5.0 | 125 | 0.0358 | 0.9937 |
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- | No log | 6.0 | 150 | 0.0363 | 0.9937 |
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- | No log | 7.0 | 175 | 0.0379 | 0.9945 |
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- | No log | 8.0 | 200 | 0.0356 | 0.9941 |
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- | No log | 9.0 | 225 | 0.0352 | 0.9941 |
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- | No log | 10.0 | 250 | 0.0376 | 0.9941 |
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- | No log | 11.0 | 275 | 0.0374 | 0.9941 |
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- | No log | 12.0 | 300 | 0.0387 | 0.9937 |
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- | No log | 13.0 | 325 | 0.0384 | 0.9941 |
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- | No log | 14.0 | 350 | 0.0392 | 0.9941 |
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- | No log | 15.0 | 375 | 0.0392 | 0.9941 |
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- | No log | 16.0 | 400 | 0.0394 | 0.9941 |
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- | No log | 17.0 | 425 | 0.0412 | 0.9945 |
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- | No log | 18.0 | 450 | 0.0404 | 0.9941 |
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- | No log | 19.0 | 475 | 0.0410 | 0.9941 |
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- | 0.0039 | 20.0 | 500 | 0.0414 | 0.9941 |
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- | 0.0039 | 21.0 | 525 | 0.0425 | 0.9941 |
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- | 0.0039 | 22.0 | 550 | 0.0416 | 0.9941 |
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- | 0.0039 | 23.0 | 575 | 0.0431 | 0.9941 |
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- | 0.0039 | 24.0 | 600 | 0.0439 | 0.9941 |
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- | 0.0039 | 25.0 | 625 | 0.0443 | 0.9941 |
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- | 0.0039 | 26.0 | 650 | 0.0440 | 0.9937 |
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- | 0.0039 | 27.0 | 675 | 0.0435 | 0.9937 |
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- | 0.0039 | 28.0 | 700 | 0.0428 | 0.9941 |
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- | 0.0039 | 29.0 | 725 | 0.0424 | 0.9941 |
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- | 0.0039 | 30.0 | 750 | 0.0431 | 0.9941 |
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- | 0.0039 | 31.0 | 775 | 0.0438 | 0.9941 |
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- | 0.0039 | 32.0 | 800 | 0.0419 | 0.9941 |
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- | 0.0039 | 33.0 | 825 | 0.0419 | 0.9941 |
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- | 0.0039 | 34.0 | 850 | 0.0416 | 0.9941 |
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- | 0.0039 | 35.0 | 875 | 0.0419 | 0.9941 |
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- | 0.0039 | 36.0 | 900 | 0.0430 | 0.9945 |
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- | 0.0039 | 37.0 | 925 | 0.0431 | 0.9941 |
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- | 0.0039 | 38.0 | 950 | 0.0439 | 0.9941 |
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- | 0.0039 | 39.0 | 975 | 0.0445 | 0.9937 |
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- | 0.0021 | 40.0 | 1000 | 0.0449 | 0.9937 |
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- | 0.0021 | 41.0 | 1025 | 0.0456 | 0.9941 |
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- | 0.0021 | 42.0 | 1050 | 0.0459 | 0.9941 |
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- | 0.0021 | 43.0 | 1075 | 0.0446 | 0.9937 |
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- | 0.0021 | 44.0 | 1100 | 0.0439 | 0.9941 |
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- | 0.0021 | 45.0 | 1125 | 0.0439 | 0.9941 |
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- | 0.0021 | 46.0 | 1150 | 0.0441 | 0.9941 |
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- | 0.0021 | 47.0 | 1175 | 0.0443 | 0.9941 |
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- | 0.0021 | 48.0 | 1200 | 0.0443 | 0.9937 |
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- | 0.0021 | 49.0 | 1225 | 0.0444 | 0.9937 |
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- | 0.0021 | 50.0 | 1250 | 0.0445 | 0.9937 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0448
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  - Accuracy: 0.9937
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 25 | 0.0317 | 0.9933 |
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+ | No log | 2.0 | 50 | 0.0342 | 0.9933 |
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+ | No log | 3.0 | 75 | 0.0339 | 0.9933 |
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+ | No log | 4.0 | 100 | 0.0361 | 0.9941 |
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+ | No log | 5.0 | 125 | 0.0367 | 0.9945 |
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+ | No log | 6.0 | 150 | 0.0372 | 0.9941 |
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+ | No log | 7.0 | 175 | 0.0388 | 0.9945 |
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+ | No log | 8.0 | 200 | 0.0365 | 0.9941 |
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+ | No log | 9.0 | 225 | 0.0359 | 0.9941 |
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+ | No log | 10.0 | 250 | 0.0385 | 0.9941 |
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+ | No log | 11.0 | 275 | 0.0380 | 0.9941 |
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+ | No log | 12.0 | 300 | 0.0394 | 0.9937 |
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+ | No log | 13.0 | 325 | 0.0389 | 0.9941 |
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+ | No log | 14.0 | 350 | 0.0398 | 0.9941 |
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+ | No log | 15.0 | 375 | 0.0398 | 0.9937 |
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+ | No log | 16.0 | 400 | 0.0399 | 0.9941 |
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+ | No log | 17.0 | 425 | 0.0419 | 0.9941 |
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+ | No log | 18.0 | 450 | 0.0409 | 0.9941 |
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+ | No log | 19.0 | 475 | 0.0415 | 0.9937 |
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+ | 0.0037 | 20.0 | 500 | 0.0418 | 0.9941 |
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+ | 0.0037 | 21.0 | 525 | 0.0430 | 0.9941 |
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+ | 0.0037 | 22.0 | 550 | 0.0419 | 0.9941 |
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+ | 0.0037 | 23.0 | 575 | 0.0434 | 0.9941 |
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+ | 0.0037 | 24.0 | 600 | 0.0443 | 0.9941 |
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+ | 0.0037 | 25.0 | 625 | 0.0447 | 0.9941 |
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+ | 0.0037 | 26.0 | 650 | 0.0444 | 0.9937 |
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+ | 0.0037 | 27.0 | 675 | 0.0438 | 0.9937 |
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+ | 0.0037 | 28.0 | 700 | 0.0431 | 0.9941 |
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+ | 0.0037 | 29.0 | 725 | 0.0426 | 0.9941 |
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+ | 0.0037 | 30.0 | 750 | 0.0434 | 0.9941 |
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+ | 0.0037 | 31.0 | 775 | 0.0442 | 0.9941 |
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+ | 0.0037 | 32.0 | 800 | 0.0423 | 0.9941 |
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+ | 0.0037 | 33.0 | 825 | 0.0423 | 0.9941 |
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+ | 0.0037 | 34.0 | 850 | 0.0419 | 0.9941 |
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+ | 0.0037 | 35.0 | 875 | 0.0422 | 0.9941 |
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+ | 0.0037 | 36.0 | 900 | 0.0433 | 0.9941 |
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+ | 0.0037 | 37.0 | 925 | 0.0434 | 0.9941 |
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+ | 0.0037 | 38.0 | 950 | 0.0443 | 0.9941 |
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+ | 0.0037 | 39.0 | 975 | 0.0449 | 0.9937 |
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+ | 0.002 | 40.0 | 1000 | 0.0452 | 0.9937 |
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+ | 0.002 | 41.0 | 1025 | 0.0459 | 0.9941 |
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+ | 0.002 | 42.0 | 1050 | 0.0463 | 0.9941 |
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+ | 0.002 | 43.0 | 1075 | 0.0449 | 0.9937 |
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+ | 0.002 | 44.0 | 1100 | 0.0443 | 0.9941 |
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+ | 0.002 | 45.0 | 1125 | 0.0442 | 0.9941 |
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+ | 0.002 | 46.0 | 1150 | 0.0445 | 0.9941 |
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+ | 0.002 | 47.0 | 1175 | 0.0446 | 0.9941 |
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+ | 0.002 | 48.0 | 1200 | 0.0447 | 0.9937 |
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+ | 0.002 | 49.0 | 1225 | 0.0448 | 0.9937 |
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+ | 0.002 | 50.0 | 1250 | 0.0448 | 0.9937 |
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  ### Framework versions
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