tinybert_base_train_book_ent_15p_s_init_book_rte
This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_book on the GLUE RTE dataset. It achieves the following results on the evaluation set:
- Loss: 0.6898
- Accuracy: 0.5379
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 |
|---|---|---|---|---|
| 0.7088 | 1.0 | 10 | 0.6905 | 0.5379 |
| 0.6869 | 2.0 | 20 | 0.6898 | 0.5379 |
| 0.6692 | 3.0 | 30 | 0.6920 | 0.5054 |
| 0.6508 | 4.0 | 40 | 0.6955 | 0.5090 |
| 0.6082 | 5.0 | 50 | 0.7337 | 0.5451 |
| 0.5513 | 6.0 | 60 | 0.7622 | 0.5162 |
| 0.4816 | 7.0 | 70 | 0.8795 | 0.5415 |
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_rte
Base model
google/bert_uncased_L-4_H-512_A-8Dataset used to train gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_book_rte
Evaluation results
- Accuracy on GLUE RTEself-reported0.538