gokulsrinivasagan
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Browse files- README.md +82 -0
- logs/events.out.tfevents.1733838289.ki-g0008.683966.12 +2 -2
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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base_model: gokulsrinivasagan/bert_tiny_lda_5_v1_book
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tags:
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- generated_from_trainer
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metrics:
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- spearmanr
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model-index:
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- name: bert_tiny_lda_5_v1_book_stsb
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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_5_v1_book_stsb
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This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_5_v1_book](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_5_v1_book) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9757
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- Pearson: 0.7968
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- Spearmanr: 0.7942
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- Combined Score: 0.7955
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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: 5e-05
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- train_batch_size: 256
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- eval_batch_size: 256
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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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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
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| 2.8706 | 1.0 | 23 | 2.4625 | 0.0991 | 0.1000 | 0.0995 |
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| 1.7766 | 2.0 | 46 | 1.3387 | 0.6421 | 0.6371 | 0.6396 |
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| 1.1649 | 3.0 | 69 | 0.9883 | 0.7530 | 0.7470 | 0.7500 |
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| 0.8446 | 4.0 | 92 | 0.9501 | 0.7802 | 0.7827 | 0.7814 |
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| 0.6587 | 5.0 | 115 | 0.9120 | 0.7839 | 0.7824 | 0.7831 |
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| 0.5587 | 6.0 | 138 | 0.8918 | 0.7876 | 0.7880 | 0.7878 |
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| 0.5104 | 7.0 | 161 | 0.9523 | 0.7822 | 0.7828 | 0.7825 |
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| 0.4506 | 8.0 | 184 | 0.9421 | 0.7916 | 0.7923 | 0.7919 |
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| 0.4174 | 9.0 | 207 | 1.0925 | 0.7876 | 0.7937 | 0.7906 |
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| 0.3229 | 10.0 | 230 | 0.8792 | 0.7969 | 0.7946 | 0.7958 |
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| 0.3096 | 11.0 | 253 | 0.9665 | 0.7887 | 0.7884 | 0.7886 |
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| 0.2918 | 12.0 | 276 | 0.8212 | 0.8017 | 0.7992 | 0.8004 |
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| 0.2479 | 13.0 | 299 | 0.8791 | 0.8055 | 0.8037 | 0.8046 |
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| 0.2409 | 14.0 | 322 | 0.8217 | 0.7970 | 0.7930 | 0.7950 |
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| 0.2071 | 15.0 | 345 | 0.8929 | 0.7998 | 0.7971 | 0.7984 |
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| 0.1907 | 16.0 | 368 | 0.8189 | 0.8027 | 0.7988 | 0.8007 |
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| 0.1825 | 17.0 | 391 | 0.9393 | 0.7924 | 0.7899 | 0.7912 |
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| 0.1634 | 18.0 | 414 | 0.8722 | 0.8046 | 0.8023 | 0.8035 |
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| 0.1531 | 19.0 | 437 | 0.9629 | 0.8037 | 0.8023 | 0.8030 |
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| 0.153 | 20.0 | 460 | 1.0063 | 0.7971 | 0.7947 | 0.7959 |
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| 0.1409 | 21.0 | 483 | 0.9757 | 0.7968 | 0.7942 | 0.7955 |
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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.1733838289.ki-g0008.683966.12
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model.safetensors
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