bert_base_lda_100_v1_book_qnli
This model is a fine-tuned version of gokulsrinivasagan/bert_base_lda_100_v1_book on the GLUE QNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.3569
- Accuracy: 0.8481
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 |
|---|---|---|---|---|
| 0.4858 | 1.0 | 410 | 0.4046 | 0.8256 |
| 0.3624 | 2.0 | 820 | 0.3569 | 0.8481 |
| 0.2686 | 3.0 | 1230 | 0.3638 | 0.8512 |
| 0.1868 | 4.0 | 1640 | 0.4795 | 0.8285 |
| 0.128 | 5.0 | 2050 | 0.4918 | 0.8396 |
| 0.0923 | 6.0 | 2460 | 0.5747 | 0.8461 |
| 0.0706 | 7.0 | 2870 | 0.5756 | 0.8417 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3
- Downloads last month
- 3
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for gokulsrinivasagan/bert_base_lda_100_v1_book_qnli
Base model
gokulsrinivasagan/bert_base_lda_100_v1_book