tinybert_train_book_ent_15p_stsb
This model is a fine-tuned version of gokulsrinivasagan/tinybert_train_book_ent_15p on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 2.2779
- Pearson: 0.2196
- Spearmanr: 0.2104
- Combined Score: 0.2150
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 |
|---|---|---|---|---|---|---|
| 3.1125 | 1.0 | 23 | 2.4241 | 0.0970 | 0.0984 | 0.0977 |
| 2.0404 | 2.0 | 46 | 2.6128 | 0.1037 | 0.0949 | 0.0993 |
| 1.9426 | 3.0 | 69 | 2.3644 | 0.1457 | 0.1307 | 0.1382 |
| 1.8491 | 4.0 | 92 | 2.2779 | 0.2196 | 0.2104 | 0.2150 |
| 1.6662 | 5.0 | 115 | 2.5923 | 0.1881 | 0.1930 | 0.1906 |
| 1.4804 | 6.0 | 138 | 2.4731 | 0.2344 | 0.2459 | 0.2402 |
| 1.277 | 7.0 | 161 | 2.4954 | 0.2410 | 0.2499 | 0.2455 |
| 1.0894 | 8.0 | 184 | 2.6198 | 0.2424 | 0.2575 | 0.2499 |
| 0.8971 | 9.0 | 207 | 2.7564 | 0.2357 | 0.2491 | 0.2424 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for gokulsrinivasagan/tinybert_train_book_ent_15p_stsb
Base model
distilbert/distilbert-base-uncasedDataset used to train gokulsrinivasagan/tinybert_train_book_ent_15p_stsb
Evaluation results
- Spearmanr on GLUE STSBself-reported0.210