tinybert_base_train_book_ent_15p_s_init_book_sst2
This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_book on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3157
- Accuracy: 0.8819
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 | Accuracy |
|---|---|---|---|---|
| 0.3317 | 1.0 | 264 | 0.3533 | 0.8406 |
| 0.1938 | 2.0 | 528 | 0.3157 | 0.8819 |
| 0.1397 | 3.0 | 792 | 0.3379 | 0.8853 |
| 0.1078 | 4.0 | 1056 | 0.3569 | 0.8853 |
| 0.0849 | 5.0 | 1320 | 0.3878 | 0.8888 |
| 0.0717 | 6.0 | 1584 | 0.3762 | 0.8830 |
| 0.0613 | 7.0 | 1848 | 0.4087 | 0.8853 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_book_sst2
Base model
google/bert_uncased_L-4_H-512_A-8Dataset used to train gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_book_sst2
Evaluation results
- Accuracy on GLUE SST2self-reported0.882