Downloads · 30 days
13
28% of all-time downloads
GPT2_rag
ibokajordan/GPT2_rag
GPT2_rag is a text generation model from ibokajordan. 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. --
All-time downloads
47
Public
Parameters
124M
1.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors498 MB · 99%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- May 9, 2025
- Updated
- May 13, 2025
- SHA
- 8af1e1b8
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. -->
GPT2_rag
This model is a fine-tuned version of redrussianarmy/gpt2-turkish-cased on the None dataset.
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: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- Created
- May 9, 2025
- Updated
- May 13, 2025