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aragpt2-transport-autocomplete
ans2004/aragpt2-transport-autocomplete
aragpt2-transport-autocomplete is a text generation model from ans2004. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Apr 25, 2026
- Updated
- Apr 25, 2026
- SHA
- 9ab328f2
Try a prompt
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. -->
aragpt2-transport-autocomplete
This model is a fine-tuned version of aubmindlab/aragpt2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5047
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 150
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.9371 | 1.1236 | 100 | 5.0896 |
| 3.5858 | 2.2472 | 200 | 2.8953 |
| 2.3939 | 3.3708 | 300 | 2.4553 |
| 1.7935 | 4.4944 | 400 | 2.4373 |
| 1.4304 | 5.6180 | 500 | 2.3790 |
| 1.2880 | 6.7416 | 600 | 2.4508 |
| 1.0935 | 7.8652 | 700 | 2.5212 |
| 1.1357 | 8.9888 | 800 | 2.5047 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- Created
- Apr 25, 2026
- Updated
- Apr 25, 2026