metadata
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: bert-large-uncased-whole-word-masking-squad2-finetuned-squad2-all
results: []
bert-large-uncased-whole-word-masking-squad2-finetuned-squad2-all
This model is a fine-tuned version of deepset/bert-large-uncased-whole-word-masking-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6649
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8119 | 1.0 | 839 | 0.4324 |
| 0.302 | 2.0 | 1678 | 0.6649 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3