Downloads · 30 days
16
5% of all-time downloads
bnc_original_30
fpadovani/bnc_original_30
bnc_original_30 is a text generation model from fpadovani. 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
335
Public
Parameters
109M
5.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors6.5 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Nov 22, 2025
- Updated
- Sep 11, 2026
- SHA
- c45a4cb0
Try a prompt
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. -->
bnc_original_30
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.8043
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: 0.0001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 30
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.8393 | 1.0 | 391 | 5.7447 |
| 5.3994 | 2.0 | 782 | 5.1892 |
| 5.0257 | 3.0 | 1173 | 4.9652 |
| 4.8389 | 4.0 | 1564 | 4.8517 |
| 4.7319 | 5.0 | 1955 | 4.8043 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- Created
- Nov 22, 2025
- Updated
- Sep 11, 2026