metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_v2
base_model: bert-base-uncased
model-index:
- name: bert-base-uncased-finetuned
results: []
bert-base-uncased-finetuned
This model is a fine-tuned version of bert-base-uncased on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.1032
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: 16
- eval_batch_size: 16
- 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 |
---|---|---|---|
1.0475 | 1.0 | 8235 | 1.0962 |
0.7752 | 2.0 | 16470 | 1.1032 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.13.3