GPT2QA_wikiqa
This model is a fine-tuned version of gpt2 on the wiki_qa dataset. It achieves the following results on the evaluation set:
- Loss: 0.2413
- Accuracy: 0.9579
- F1: 0.0
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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.1963 | 1.0 | 1387 | 0.2651 | 0.9579 | 0.0 |
| 0.2095 | 2.0 | 2774 | 0.2413 | 0.9579 | 0.0 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Downloads last month
- 9
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for amaanbadure/GPT2QA_wikiqa
Base model
openai-community/gpt2Dataset used to train amaanbadure/GPT2QA_wikiqa
Evaluation results
- Accuracy on wiki_qatest set self-reported0.958
- F1 on wiki_qatest set self-reported0.000