Model save
Browse files
README.md
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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_tiny_lda_20_v1_book
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results: []
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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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# bert_tiny_lda_20_v1_book
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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: 3.8704
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- Accuracy: 0.6795
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 160
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- eval_batch_size: 160
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-------:|:------:|:---------------:|:--------:|
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| 8.6049 | 0.7025 | 10000 | 8.4377 | 0.1653 |
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| 5.6593 | 1.4051 | 20000 | 5.2243 | 0.5031 |
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| 5.1606 | 2.1076 | 30000 | 4.7778 | 0.5589 |
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| 4.9169 | 2.8102 | 40000 | 4.5539 | 0.5885 |
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| 4.7607 | 3.5127 | 50000 | 4.4085 | 0.6088 |
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| 4.6405 | 4.2153 | 60000 | 4.3027 | 0.6216 |
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| 4.5578 | 4.9178 | 70000 | 4.2156 | 0.6307 |
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| 4.496 | 5.6203 | 80000 | 4.1619 | 0.6375 |
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| 4.457 | 6.3229 | 90000 | 4.1256 | 0.6425 |
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| 4.4199 | 7.0254 | 100000 | 4.0918 | 0.6468 |
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| 4.3953 | 7.7280 | 110000 | 4.0677 | 0.6504 |
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| 4.3703 | 8.4305 | 120000 | 4.0441 | 0.6538 |
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| 4.3437 | 9.1331 | 130000 | 4.0295 | 0.6560 |
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| 4.3295 | 9.8356 | 140000 | 4.0084 | 0.6594 |
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| 4.3125 | 10.5381 | 150000 | 3.9955 | 0.6612 |
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| 4.3048 | 11.2407 | 160000 | 3.9842 | 0.6627 |
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| 4.2863 | 11.9432 | 170000 | 3.9727 | 0.6645 |
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| 4.276 | 12.6458 | 180000 | 3.9592 | 0.6663 |
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| 4.2651 | 13.3483 | 190000 | 3.9543 | 0.6669 |
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| 4.2573 | 14.0509 | 200000 | 3.9438 | 0.6683 |
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| 4.247 | 14.7534 | 210000 | 3.9343 | 0.6699 |
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| 4.2387 | 15.4560 | 220000 | 3.9274 | 0.6712 |
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| 4.2331 | 16.1585 | 230000 | 3.9226 | 0.6718 |
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| 4.2238 | 16.8610 | 240000 | 3.9161 | 0.6727 |
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| 4.2171 | 17.5636 | 250000 | 3.9106 | 0.6735 |
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| 4.2098 | 18.2661 | 260000 | 3.9046 | 0.6740 |
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| 4.2083 | 18.9687 | 270000 | 3.9001 | 0.6749 |
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| 4.1991 | 19.6712 | 280000 | 3.8949 | 0.6759 |
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| 4.1961 | 20.3738 | 290000 | 3.8903 | 0.6766 |
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| 4.1893 | 21.0763 | 300000 | 3.8864 | 0.6772 |
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| 4.1866 | 21.7788 | 310000 | 3.8808 | 0.6779 |
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| 4.181 | 22.4814 | 320000 | 3.8782 | 0.6784 |
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| 4.18 | 23.1839 | 330000 | 3.8763 | 0.6785 |
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| 4.1771 | 23.8865 | 340000 | 3.8731 | 0.6790 |
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| 4.1765 | 24.5890 | 350000 | 3.8704 | 0.6795 |
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### Framework versions
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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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logs/events.out.tfevents.1733701795.ki-g0008.3821955.0
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd09e46fc89a9832f6d97e6b869a82fe17934ae160d290a3c4a96335e42c8351
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size 169461
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