| | --- |
| | library_name: transformers |
| | language: |
| | - en |
| | license: apache-2.0 |
| | base_model: gokulsrinivasagan/tinybert_base_train_kd |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - glue |
| | metrics: |
| | - spearmanr |
| | model-index: |
| | - name: tinybert_base_train_kd_stsb |
| | results: |
| | - task: |
| | name: Text Classification |
| | type: text-classification |
| | dataset: |
| | name: GLUE STSB |
| | type: glue |
| | args: stsb |
| | metrics: |
| | - name: Spearmanr |
| | type: spearmanr |
| | value: 0.8229059501737404 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # tinybert_base_train_kd_stsb |
| |
|
| | This model is a fine-tuned version of [gokulsrinivasagan/tinybert_base_train_kd](https://huggingface.co/gokulsrinivasagan/tinybert_base_train_kd) on the GLUE STSB dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.7127 |
| | - Pearson: 0.8275 |
| | - Spearmanr: 0.8229 |
| | - Combined Score: 0.8252 |
| |
|
| | ## 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:| |
| | | 2.613 | 1.0 | 23 | 2.5624 | 0.1145 | 0.1287 | 0.1216 | |
| | | 1.8186 | 2.0 | 46 | 1.1171 | 0.7169 | 0.7142 | 0.7155 | |
| | | 1.1222 | 3.0 | 69 | 1.0925 | 0.7803 | 0.7822 | 0.7813 | |
| | | 0.8374 | 4.0 | 92 | 0.7486 | 0.8170 | 0.8122 | 0.8146 | |
| | | 0.7145 | 5.0 | 115 | 0.7349 | 0.8232 | 0.8204 | 0.8218 | |
| | | 0.5299 | 6.0 | 138 | 0.7158 | 0.8318 | 0.8265 | 0.8292 | |
| | | 0.4359 | 7.0 | 161 | 0.7249 | 0.8288 | 0.8267 | 0.8278 | |
| | | 0.3798 | 8.0 | 184 | 0.7129 | 0.8281 | 0.8235 | 0.8258 | |
| | | 0.3253 | 9.0 | 207 | 0.7902 | 0.8171 | 0.8150 | 0.8161 | |
| | | 0.277 | 10.0 | 230 | 0.7336 | 0.8229 | 0.8195 | 0.8212 | |
| | | 0.255 | 11.0 | 253 | 0.7127 | 0.8275 | 0.8229 | 0.8252 | |
| | | 0.2257 | 12.0 | 276 | 0.7646 | 0.8233 | 0.8216 | 0.8225 | |
| | | 0.204 | 13.0 | 299 | 0.8714 | 0.8245 | 0.8235 | 0.8240 | |
| | | 0.1957 | 14.0 | 322 | 0.7891 | 0.8213 | 0.8179 | 0.8196 | |
| | | 0.1725 | 15.0 | 345 | 0.7348 | 0.8230 | 0.8193 | 0.8212 | |
| | | 0.1621 | 16.0 | 368 | 0.7909 | 0.8179 | 0.8149 | 0.8164 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.51.2 |
| | - Pytorch 2.6.0+cu126 |
| | - Datasets 3.5.0 |
| | - Tokenizers 0.21.1 |
| |
|
