metadata
language:
- en
widget:
- text: >-
did abraham lincoln write the letter in saving private ryan <sep> In the
1998 war film Saving Private Ryan, General George Marshall (played by
Harve Presnell) reads the Bixby letter to his officers before giving the
order to find and send home Private James Francis Ryan after Ryan's three
brothers died in battle.
example_title: Bool QA
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
datasets:
- google/boolq
metrics:
- accuracy
model-index:
- name: Bert Base Uncased Boolean Question Answer model
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: boolq
type: google/boolq
metrics:
- name: Accuracy
type: accuracy
value: 0.7149847094801223
Bert Base Uncased Boolean Question Answer model
This model is a fine-tuned version of bert-base-uncased on the boolq dataset. It achieves the following results on the evaluation set:
- Loss: 0.1993
- Accuracy: 0.7150
Model description
- Model type: Text Classification model
- Language(s) (NLP): English
- License: Apache 2.0
Intended uses & limitations
More information needed
Training and evaluation data
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.2317 | 0.9966 | 147 | 0.2198 | 0.6569 |
0.2 | 2.0 | 295 | 0.2002 | 0.6960 |
0.1741 | 2.9966 | 442 | 0.1968 | 0.7122 |
0.1469 | 3.9864 | 588 | 0.1993 | 0.7150 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1