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bert_base_lda_5_v1_book

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  1. README.md +118 -0
  2. logs/events.out.tfevents.1733423911.ki-g0008.2795925.0 +2 -2
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: bert_base_lda_5_v1_book
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # bert_base_lda_5_v1_book
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.4581
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+ - Accuracy: 0.7559
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 96
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+ - eval_batch_size: 96
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+ - seed: 10
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 10000
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+ - num_epochs: 25
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-------:|:------:|:---------------:|:--------:|
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+ | 7.0997 | 0.4215 | 10000 | 6.9318 | 0.1639 |
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+ | 6.9855 | 0.8431 | 20000 | 6.8420 | 0.1652 |
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+ | 6.9276 | 1.2646 | 30000 | 6.7965 | 0.1662 |
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+ | 6.8979 | 1.6861 | 40000 | 6.7707 | 0.1664 |
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+ | 6.8708 | 2.1077 | 50000 | 6.7510 | 0.1673 |
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+ | 6.8545 | 2.5292 | 60000 | 6.7322 | 0.1682 |
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+ | 4.1528 | 2.9507 | 70000 | 3.8084 | 0.5410 |
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+ | 3.5714 | 3.3723 | 80000 | 3.2838 | 0.6196 |
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+ | 3.3831 | 3.7938 | 90000 | 3.1109 | 0.6470 |
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+ | 3.2724 | 4.2153 | 100000 | 3.0118 | 0.6628 |
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+ | 3.2036 | 4.6369 | 110000 | 2.9437 | 0.6732 |
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+ | 3.1442 | 5.0584 | 120000 | 2.8917 | 0.6821 |
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+ | 3.0973 | 5.4799 | 130000 | 2.8480 | 0.6892 |
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+ | 3.0658 | 5.9014 | 140000 | 2.8130 | 0.6946 |
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+ | 3.03 | 6.3230 | 150000 | 2.7858 | 0.6993 |
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+ | 3.0096 | 6.7445 | 160000 | 2.7617 | 0.7035 |
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+ | 2.9758 | 7.1660 | 170000 | 2.7381 | 0.7077 |
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+ | 2.9593 | 7.5876 | 180000 | 2.7242 | 0.7101 |
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+ | 2.9411 | 8.0091 | 190000 | 2.7034 | 0.7130 |
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+ | 2.923 | 8.4306 | 200000 | 2.6897 | 0.7158 |
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+ | 2.9048 | 8.8522 | 210000 | 2.6765 | 0.7181 |
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+ | 2.8966 | 9.2737 | 220000 | 2.6622 | 0.7204 |
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+ | 2.8762 | 9.6952 | 230000 | 2.6505 | 0.7223 |
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+ | 2.8607 | 10.1168 | 240000 | 2.6398 | 0.7245 |
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+ | 2.8571 | 10.5383 | 250000 | 2.6271 | 0.7262 |
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+ | 2.8425 | 10.9598 | 260000 | 2.6175 | 0.7280 |
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+ | 2.8318 | 11.3814 | 270000 | 2.6108 | 0.7292 |
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+ | 2.8289 | 11.8029 | 280000 | 2.6007 | 0.7311 |
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+ | 2.8124 | 12.2244 | 290000 | 2.5929 | 0.7324 |
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+ | 2.8057 | 12.6460 | 300000 | 2.5821 | 0.7343 |
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+ | 2.7945 | 13.0675 | 310000 | 2.5765 | 0.7354 |
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+ | 2.7875 | 13.4890 | 320000 | 2.5697 | 0.7366 |
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+ | 2.782 | 13.9106 | 330000 | 2.5634 | 0.7373 |
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+ | 2.7765 | 14.3321 | 340000 | 2.5552 | 0.7390 |
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+ | 2.7667 | 14.7536 | 350000 | 2.5493 | 0.7398 |
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+ | 2.7611 | 15.1751 | 360000 | 2.5438 | 0.7407 |
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+ | 2.7551 | 15.5967 | 370000 | 2.5371 | 0.7419 |
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+ | 2.7481 | 16.0182 | 380000 | 2.5313 | 0.7430 |
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+ | 2.7426 | 16.4397 | 390000 | 2.5264 | 0.7439 |
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+ | 2.7361 | 16.8613 | 400000 | 2.5229 | 0.7447 |
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+ | 2.7309 | 17.2828 | 410000 | 2.5152 | 0.7458 |
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+ | 2.7245 | 17.7043 | 420000 | 2.5121 | 0.7467 |
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+ | 2.7188 | 18.1259 | 430000 | 2.5086 | 0.7471 |
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+ | 2.7113 | 18.5474 | 440000 | 2.5051 | 0.7478 |
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+ | 2.7108 | 18.9689 | 450000 | 2.4989 | 0.7489 |
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+ | 2.7047 | 19.3905 | 460000 | 2.4949 | 0.7496 |
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+ | 2.7021 | 19.8120 | 470000 | 2.4909 | 0.7502 |
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+ | 2.6941 | 20.2335 | 480000 | 2.4869 | 0.7509 |
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+ | 2.6883 | 20.6551 | 490000 | 2.4828 | 0.7516 |
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+ | 2.6843 | 21.0766 | 500000 | 2.4785 | 0.7522 |
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+ | 2.681 | 21.4981 | 510000 | 2.4755 | 0.7530 |
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+ | 2.6756 | 21.9197 | 520000 | 2.4729 | 0.7535 |
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+ | 2.6757 | 22.3412 | 530000 | 2.4707 | 0.7539 |
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+ | 2.6705 | 22.7627 | 540000 | 2.4694 | 0.7541 |
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+ | 2.6708 | 23.1843 | 550000 | 2.4654 | 0.7545 |
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+ | 2.6665 | 23.6058 | 560000 | 2.4626 | 0.7553 |
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+ | 2.6622 | 24.0273 | 570000 | 2.4618 | 0.7555 |
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+ | 2.6612 | 24.4488 | 580000 | 2.4580 | 0.7561 |
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+ | 2.6573 | 24.8704 | 590000 | 2.4581 | 0.7559 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.3
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+ - Pytorch 2.2.1+cu118
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+ - Datasets 2.17.0
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+ - Tokenizers 0.20.3
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