| --- |
| library_name: transformers |
| language: |
| - en |
| base_model: Hartunka/distilbert_km_50_v2 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - glue |
| metrics: |
| - spearmanr |
| model-index: |
| - name: distilbert_km_50_v2_stsb |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: GLUE STSB |
| type: glue |
| args: stsb |
| metrics: |
| - name: Spearmanr |
| type: spearmanr |
| value: 0.1491903358366117 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # distilbert_km_50_v2_stsb |
|
|
| This model is a fine-tuned version of [Hartunka/distilbert_km_50_v2](https://huggingface.co/Hartunka/distilbert_km_50_v2) on the GLUE STSB dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.4866 |
| - Pearson: 0.1696 |
| - Spearmanr: 0.1492 |
| - Combined Score: 0.1594 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 256 |
| - eval_batch_size: 256 |
| - seed: 10 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 50 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:| |
| | 2.9949 | 1.0 | 23 | 2.4938 | 0.0914 | 0.0800 | 0.0857 | |
| | 1.9579 | 2.0 | 46 | 2.4972 | 0.1782 | 0.1647 | 0.1715 | |
| | 1.7843 | 3.0 | 69 | 2.4866 | 0.1696 | 0.1492 | 0.1594 | |
| | 1.5797 | 4.0 | 92 | 2.5044 | 0.2261 | 0.2100 | 0.2180 | |
| | 1.3075 | 5.0 | 115 | 2.5789 | 0.2531 | 0.2445 | 0.2488 | |
| | 1.0461 | 6.0 | 138 | 2.7867 | 0.2381 | 0.2219 | 0.2300 | |
| | 0.8285 | 7.0 | 161 | 2.6396 | 0.2729 | 0.2742 | 0.2735 | |
| | 0.6271 | 8.0 | 184 | 2.8820 | 0.2805 | 0.2815 | 0.2810 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.50.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.21.1 |
|
|
