bert_base_lda_20_v1_book_mnli
This model is a fine-tuned version of gokulsrinivasagan/bert_base_lda_20_v1_book on the GLUE MNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.4779
- Accuracy: 0.8117
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 |
|---|---|---|---|---|
| 0.6384 | 1.0 | 1534 | 0.5400 | 0.7887 |
| 0.4424 | 2.0 | 3068 | 0.4842 | 0.8124 |
| 0.3282 | 3.0 | 4602 | 0.5306 | 0.8087 |
| 0.2371 | 4.0 | 6136 | 0.5695 | 0.8162 |
| 0.1756 | 5.0 | 7670 | 0.6396 | 0.8067 |
| 0.1332 | 6.0 | 9204 | 0.7668 | 0.8105 |
| 0.1049 | 7.0 | 10738 | 0.7943 | 0.8101 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3
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Base model
gokulsrinivasagan/bert_base_lda_20_v1_book