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distilbert_lda_100_v1_book

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  1. README.md +118 -0
  2. logs/events.out.tfevents.1733424058.ki-g0008.2795304.0 +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: distilbert_lda_100_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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+ # distilbert_lda_100_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: 4.6463
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+ - Accuracy: 0.7270
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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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+ | 9.8243 | 0.4215 | 10000 | 9.5492 | 0.1639 |
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+ | 6.4155 | 0.8431 | 20000 | 6.0168 | 0.5575 |
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+ | 5.9278 | 1.2646 | 30000 | 5.5919 | 0.6085 |
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+ | 5.7301 | 1.6861 | 40000 | 5.4051 | 0.6304 |
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+ | 5.5965 | 2.1077 | 50000 | 5.2807 | 0.6431 |
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+ | 5.5012 | 2.5292 | 60000 | 5.1835 | 0.6540 |
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+ | 5.4266 | 2.9507 | 70000 | 5.1245 | 0.6611 |
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+ | 5.3773 | 3.3723 | 80000 | 5.0742 | 0.6676 |
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+ | 5.3364 | 3.7938 | 90000 | 5.0321 | 0.6726 |
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+ | 5.2973 | 4.2153 | 100000 | 5.0044 | 0.6767 |
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+ | 5.2724 | 4.6369 | 110000 | 4.9772 | 0.6799 |
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+ | 5.2442 | 5.0584 | 120000 | 4.9517 | 0.6836 |
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+ | 5.2231 | 5.4799 | 130000 | 4.9291 | 0.6863 |
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+ | 5.2074 | 5.9014 | 140000 | 4.9105 | 0.6888 |
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+ | 5.1812 | 6.3230 | 150000 | 4.8956 | 0.6911 |
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+ | 5.1733 | 6.7445 | 160000 | 4.8813 | 0.6934 |
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+ | 5.147 | 7.1660 | 170000 | 4.8666 | 0.6953 |
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+ | 5.1368 | 7.5876 | 180000 | 4.8567 | 0.6967 |
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+ | 5.1244 | 8.0091 | 190000 | 4.8440 | 0.6982 |
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+ | 5.1142 | 8.4306 | 200000 | 4.8315 | 0.6998 |
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+ | 5.1017 | 8.8522 | 210000 | 4.8245 | 0.7013 |
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+ | 5.0955 | 9.2737 | 220000 | 4.8129 | 0.7025 |
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+ | 5.0784 | 9.6952 | 230000 | 4.8042 | 0.7039 |
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+ | 5.0662 | 10.1168 | 240000 | 4.7974 | 0.7053 |
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+ | 5.067 | 10.5383 | 250000 | 4.7871 | 0.7062 |
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+ | 5.0545 | 10.9598 | 260000 | 4.7792 | 0.7074 |
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+ | 5.0461 | 11.3814 | 270000 | 4.7762 | 0.7082 |
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+ | 5.0456 | 11.8029 | 280000 | 4.7663 | 0.7093 |
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+ | 5.0294 | 12.2244 | 290000 | 4.7599 | 0.7103 |
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+ | 5.0258 | 12.6460 | 300000 | 4.7528 | 0.7113 |
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+ | 5.0149 | 13.0675 | 310000 | 4.7464 | 0.7123 |
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+ | 5.0114 | 13.4890 | 320000 | 4.7420 | 0.7131 |
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+ | 5.0086 | 13.9106 | 330000 | 4.7378 | 0.7137 |
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+ | 5.004 | 14.3321 | 340000 | 4.7310 | 0.7147 |
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+ | 4.9941 | 14.7536 | 350000 | 4.7263 | 0.7152 |
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+ | 4.9902 | 15.1751 | 360000 | 4.7222 | 0.7157 |
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+ | 4.9867 | 15.5967 | 370000 | 4.7158 | 0.7168 |
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+ | 4.9796 | 16.0182 | 380000 | 4.7116 | 0.7175 |
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+ | 4.9751 | 16.4397 | 390000 | 4.7051 | 0.7180 |
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+ | 4.9683 | 16.8613 | 400000 | 4.7038 | 0.7184 |
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+ | 4.967 | 17.2828 | 410000 | 4.6955 | 0.7196 |
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+ | 4.961 | 17.7043 | 420000 | 4.6947 | 0.7200 |
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+ | 4.953 | 18.1259 | 430000 | 4.6910 | 0.7204 |
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+ | 4.9491 | 18.5474 | 440000 | 4.6884 | 0.7208 |
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+ | 4.9485 | 18.9689 | 450000 | 4.6825 | 0.7217 |
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+ | 4.9439 | 19.3905 | 460000 | 4.6790 | 0.7222 |
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+ | 4.9417 | 19.8120 | 470000 | 4.6757 | 0.7226 |
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+ | 4.9334 | 20.2335 | 480000 | 4.6713 | 0.7233 |
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+ | 4.929 | 20.6551 | 490000 | 4.6686 | 0.7238 |
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+ | 4.925 | 21.0766 | 500000 | 4.6645 | 0.7242 |
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+ | 4.9207 | 21.4981 | 510000 | 4.6618 | 0.7246 |
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+ | 4.9177 | 21.9197 | 520000 | 4.6599 | 0.7250 |
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+ | 4.9191 | 22.3412 | 530000 | 4.6584 | 0.7252 |
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+ | 4.9138 | 22.7627 | 540000 | 4.6577 | 0.7255 |
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+ | 4.9139 | 23.1843 | 550000 | 4.6533 | 0.7259 |
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+ | 4.9098 | 23.6058 | 560000 | 4.6508 | 0.7264 |
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+ | 4.9063 | 24.0273 | 570000 | 4.6497 | 0.7265 |
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+ | 4.9048 | 24.4488 | 580000 | 4.6457 | 0.7271 |
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+ | 4.9011 | 24.8704 | 590000 | 4.6463 | 0.7270 |
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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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