metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-squad-v1-finetuned-DND
results: []
bert-base-uncased-squad-v1-finetuned-DND
This model is a fine-tuned version of csarron/bert-base-uncased-squad-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3340
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4852 | 1.0 | 572 | 0.8769 |
| 0.5831 | 2.0 | 1144 | 0.4166 |
| 0.3135 | 3.0 | 1716 | 0.3340 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3