metadata
license: mit
base_model: hung200504/bert-squadv2
tags:
- generated_from_trainer
model-index:
- name: bert-squad-covidqa-2
results: []
bert-squad-covidqa-2
This model is a fine-tuned version of hung200504/bert-squadv2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0012
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|
| 6.0266 | 0.71 | 5 | 1.2542 |
| 0.3796 | 1.43 | 10 | 0.0068 |
| 0.0123 | 2.14 | 15 | 0.0018 |
| 0.0039 | 2.86 | 20 | 0.0012 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1