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--- |
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library_name: transformers |
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language: |
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- en |
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base_model: gokulsrinivasagan/bert_base_lda_50_v1 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- glue |
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metrics: |
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- spearmanr |
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model-index: |
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- name: bert_base_lda_50_v1_stsb |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: GLUE STSB |
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type: glue |
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args: stsb |
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metrics: |
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- name: Spearmanr |
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type: spearmanr |
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value: 0.5589090761362828 |
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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_base_lda_50_v1_stsb |
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This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_50_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_50_v1) on the GLUE STSB dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6371 |
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- Pearson: 0.5607 |
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- Spearmanr: 0.5589 |
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- Combined Score: 0.5598 |
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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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| 2.6627 | 1.0 | 23 | 2.5606 | 0.0619 | 0.0680 | 0.0649 | |
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| 1.9634 | 2.0 | 46 | 2.0866 | 0.3208 | 0.2992 | 0.3100 | |
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| 1.5146 | 3.0 | 69 | 1.9855 | 0.4821 | 0.4690 | 0.4756 | |
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| 1.0707 | 4.0 | 92 | 2.3493 | 0.4693 | 0.4790 | 0.4741 | |
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| 0.8577 | 5.0 | 115 | 1.7066 | 0.5352 | 0.5293 | 0.5322 | |
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| 0.6288 | 6.0 | 138 | 1.6371 | 0.5607 | 0.5589 | 0.5598 | |
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| 0.5403 | 7.0 | 161 | 1.6740 | 0.5636 | 0.5593 | 0.5614 | |
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| 0.4198 | 8.0 | 184 | 1.7393 | 0.5655 | 0.5612 | 0.5634 | |
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| 0.3618 | 9.0 | 207 | 1.6963 | 0.5446 | 0.5344 | 0.5395 | |
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| 0.3216 | 10.0 | 230 | 1.6674 | 0.5594 | 0.5517 | 0.5555 | |
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| 0.2733 | 11.0 | 253 | 2.0050 | 0.5558 | 0.5493 | 0.5526 | |
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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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