tinybert_base_train_book_ent_15p_s_init_cola
This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.6135
- Matthews Correlation: 0.1219
- Accuracy: 0.6884
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 | Matthews Correlation | Accuracy |
|---|---|---|---|---|---|
| 0.6156 | 1.0 | 34 | 0.6160 | 0.0 | 0.6913 |
| 0.5989 | 2.0 | 68 | 0.6142 | -0.0293 | 0.6894 |
| 0.5794 | 3.0 | 102 | 0.6135 | 0.1219 | 0.6884 |
| 0.5473 | 4.0 | 136 | 0.6540 | 0.1005 | 0.6913 |
| 0.5124 | 5.0 | 170 | 0.6684 | 0.1437 | 0.6874 |
| 0.4756 | 6.0 | 204 | 0.6813 | 0.1494 | 0.6731 |
| 0.4397 | 7.0 | 238 | 0.7403 | 0.1165 | 0.6500 |
| 0.4032 | 8.0 | 272 | 0.7788 | 0.1317 | 0.6366 |
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_cola
Base model
google/bert_uncased_L-4_H-512_A-8Dataset used to train gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init_cola
Evaluation results
- Matthews Correlation on GLUE COLAself-reported0.122
- Accuracy on GLUE COLAself-reported0.688