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gpt2-large-agnews-classifier
ranjankn/gpt2-large-agnews-classifier
gpt2-large-agnews-classifier is a machine learning model from ranjankn. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Oct 8, 2025
- Updated
- Oct 8, 2025
- SHA
- fd0cc12c
Base models
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. -->
gpt2-large-agnews-classifier
This model is a fine-tuned version of gpt2-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1733
- Accuracy: 0.9514
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1796 | 1.0 | 7500 | 0.1746 | 0.9436 |
| 0.0928 | 2.0 | 15000 | 0.1733 | 0.9514 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.6.0+cu118
- Datasets 2.18.0
- Tokenizers 0.19.1
- Type
- gpt2
- License
- mit
- Created
- Oct 8, 2025
- Updated
- Oct 8, 2025