metadata
license: apache-2.0
base_model: bert-large-uncased-whole-word-masking-finetuned-squad
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: >-
bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad2-noAns
results: []
bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad2-noAns
This model is a fine-tuned version of bert-large-uncased-whole-word-masking-finetuned-squad on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 266 | 0.0000 |
| 0.0649 | 2.0 | 532 | 0.0000 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3