Model save
Browse files- README.md +85 -0
- logs/events.out.tfevents.1733338178.ki-g0008.1761130.30 +2 -2
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: google/bert_uncased_L-4_H-512_A-8
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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_uncased_L-4_H-512_A-8_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_uncased_L-4_H-512_A-8_stsb
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This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5781
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- Pearson: 0.8748
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- Spearmanr: 0.8713
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- Combined Score: 0.8731
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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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| 2.5878 | 1.0 | 23 | 0.9754 | 0.7823 | 0.7580 | 0.7702 |
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| 0.797 | 2.0 | 46 | 0.7766 | 0.8466 | 0.8482 | 0.8474 |
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| 0.5786 | 3.0 | 69 | 0.6314 | 0.8603 | 0.8587 | 0.8595 |
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| 0.4961 | 4.0 | 92 | 0.6342 | 0.8643 | 0.8637 | 0.8640 |
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| 0.3944 | 5.0 | 115 | 0.6018 | 0.8694 | 0.8683 | 0.8689 |
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| 0.3362 | 6.0 | 138 | 0.6101 | 0.8659 | 0.8657 | 0.8658 |
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| 0.2932 | 7.0 | 161 | 0.6056 | 0.8678 | 0.8666 | 0.8672 |
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| 0.2495 | 8.0 | 184 | 0.6255 | 0.8679 | 0.8672 | 0.8675 |
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| 0.2268 | 9.0 | 207 | 0.5970 | 0.8699 | 0.8685 | 0.8692 |
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| 0.2037 | 10.0 | 230 | 0.6517 | 0.8691 | 0.8672 | 0.8682 |
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| 0.191 | 11.0 | 253 | 0.6017 | 0.8709 | 0.8677 | 0.8693 |
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| 0.1678 | 12.0 | 276 | 0.6097 | 0.8704 | 0.8685 | 0.8695 |
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| 0.1546 | 13.0 | 299 | 0.6052 | 0.8713 | 0.8701 | 0.8707 |
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| 0.1486 | 14.0 | 322 | 0.5914 | 0.8714 | 0.8689 | 0.8701 |
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| 0.1372 | 15.0 | 345 | 0.6175 | 0.8738 | 0.8702 | 0.8720 |
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| 0.131 | 16.0 | 368 | 0.5826 | 0.8727 | 0.8702 | 0.8715 |
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| 0.1216 | 17.0 | 391 | 0.5779 | 0.8717 | 0.8686 | 0.8702 |
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| 0.1145 | 18.0 | 414 | 0.5646 | 0.8739 | 0.8704 | 0.8721 |
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| 0.1158 | 19.0 | 437 | 0.5811 | 0.8738 | 0.8711 | 0.8724 |
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| 0.109 | 20.0 | 460 | 0.5896 | 0.8763 | 0.8720 | 0.8742 |
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| 0.105 | 21.0 | 483 | 0.5863 | 0.8737 | 0.8705 | 0.8721 |
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| 0.0995 | 22.0 | 506 | 0.5758 | 0.8741 | 0.8701 | 0.8721 |
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| 0.0971 | 23.0 | 529 | 0.5781 | 0.8748 | 0.8713 | 0.8731 |
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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.1733338178.ki-g0008.1761130.30
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version https://git-lfs.github.com/spec/v1
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size
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size 20236
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model.safetensors
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