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update model card README.md
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README.md
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---
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license: apache-2.0
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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: distilbert-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
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type: glue
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config: stsb
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split: validation
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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: 0.8675110135064746
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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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# distilbert-base-uncased-finetuned-stsb
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5530
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- Pearson: 0.8709
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- Spearmanr: 0.8675
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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: 16
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
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| No log | 1.0 | 360 | 0.6069 | 0.8601 | 0.8560 |
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| 1.0107 | 2.0 | 720 | 0.5594 | 0.8670 | 0.8637 |
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| 0.3889 | 3.0 | 1080 | 0.5882 | 0.8678 | 0.8652 |
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| 0.3889 | 4.0 | 1440 | 0.5809 | 0.8708 | 0.8676 |
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| 0.2473 | 5.0 | 1800 | 0.5530 | 0.8709 | 0.8675 |
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### Framework versions
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- Transformers 4.27.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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