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--- |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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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: distilbert-base-uncased-finetuned-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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# 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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5847 |
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- Pearson: 0.8680 |
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- Spearmanr: 0.8654 |
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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 | 0.5994 | 0.8662 | 0.8644 | |
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| 1.0424 | 2.0 | 720 | 0.5847 | 0.8680 | 0.8654 | |
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| 0.3948 | 3.0 | 1080 | 0.5782 | 0.8679 | 0.8643 | |
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| 0.3948 | 4.0 | 1440 | 0.5639 | 0.8667 | 0.8631 | |
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| 0.2382 | 5.0 | 1800 | 0.5662 | 0.8670 | 0.8634 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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