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GPT2QA_wikiqa
amaanbadure/GPT2QA_wikiqa
GPT2QA_wikiqa is a text classification model from amaanbadure. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Nov 8, 2023
- Updated
- Nov 8, 2023
- SHA
- 5fe853fb
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Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Nov 8, 2023
- Updated
- Nov 8, 2023