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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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license: apache-2.0 |
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base_model: bert-base-uncased |
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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-uncased-finetuned-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: 0.8811252104935365 |
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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-uncased-finetuned-stsb |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on the GLUE STSB dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5017 |
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- Pearson: 0.8854 |
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- Spearmanr: 0.8811 |
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- Combined Score: 0.8833 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Combined Score | Validation Loss | Pearson | Spearmanr | |
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|:-------------:|:-----:|:----:|:--------------:|:---------------:|:-------:|:---------:| |
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| 1.1212 | 1.0 | 360 | 0.8776 | 0.5732 | 0.8790 | 0.8762 | |
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| 0.4308 | 2.0 | 720 | 0.8795 | 0.5607 | 0.8813 | 0.8777 | |
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| 0.2947 | 3.0 | 1080 | 0.8836 | 0.5010 | 0.8856 | 0.8816 | |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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