tinybert_base_train_book_ent_15p_s_init_kd_complete_rte
This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_complete on the GLUE RTE dataset. It achieves the following results on the evaluation set:
- Loss: 0.6878
- Accuracy: 0.5126
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 |
|---|---|---|---|---|
| 0.729 | 1.0 | 10 | 0.7027 | 0.4801 |
| 0.6883 | 2.0 | 20 | 0.6912 | 0.5018 |
| 0.6703 | 3.0 | 30 | 0.6878 | 0.5126 |
| 0.6464 | 4.0 | 40 | 0.6963 | 0.5235 |
| 0.6075 | 5.0 | 50 | 0.7279 | 0.5379 |
| 0.5549 | 6.0 | 60 | 0.7688 | 0.5162 |
| 0.4855 | 7.0 | 70 | 0.8285 | 0.5162 |
| 0.4121 | 8.0 | 80 | 0.9034 | 0.5307 |
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_kd_complete_rte
Base model
google/bert_uncased_L-4_H-512_A-8Dataset used to train gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_complete_rte
Evaluation results
- Accuracy on GLUE RTEself-reported0.513