tinybert_base_train_book_ent_15p_s_init_kd_complete_sst2
This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_kd_complete on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3645
- Accuracy: 0.8601
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 |
|---|---|---|---|---|
| 0.3388 | 1.0 | 264 | 0.3645 | 0.8601 |
| 0.2201 | 2.0 | 528 | 0.3685 | 0.8612 |
| 0.1649 | 3.0 | 792 | 0.4037 | 0.8612 |
| 0.1329 | 4.0 | 1056 | 0.4017 | 0.8761 |
| 0.1088 | 5.0 | 1320 | 0.3973 | 0.875 |
| 0.094 | 6.0 | 1584 | 0.4348 | 0.8658 |
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_sst2
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_sst2
Evaluation results
- Accuracy on GLUE SST2self-reported0.860