bert_base_train_book_ent_15p_s_stsb
This model is a fine-tuned version of gokulsrinivasagan/bert_base_train_book_ent_15p_s on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- Loss: 2.2645
- Pearson: nan
- Spearmanr: nan
- Combined Score: nan
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 |
|---|---|---|---|---|---|---|
| 3.4421 | 1.0 | 23 | 2.2645 | nan | nan | nan |
| 2.1748 | 2.0 | 46 | 2.6349 | nan | nan | nan |
| 2.1646 | 3.0 | 69 | 2.3872 | nan | nan | nan |
| 2.1699 | 4.0 | 92 | 2.4516 | 0.0166 | 0.0134 | 0.0150 |
| 2.1567 | 5.0 | 115 | 2.3990 | nan | nan | nan |
| 2.1677 | 6.0 | 138 | 2.3650 | nan | nan | nan |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1