bert-base-uncased-BiLSTM-Optiparam-ADVQA36K-V3-frozen
This model is a fine-tuned version of allistair99/bert-base-uncased-BiLSTM-Optiparam-SQuAD-V1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7205
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: 3e-05
- train_batch_size: 6
- eval_batch_size: 60
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.9863 | 1.0 | 1670 | 2.7631 |
| 2.9582 | 2.0 | 3340 | 2.7302 |
| 2.9435 | 3.0 | 5010 | 2.7205 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1