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gpt2_small_KO_superbpe_65536_parallel10_42
parallelm/gpt2_small_KO_superbpe_65536_parallel10_42
gpt2_small_KO_superbpe_65536_parallel10_42 is a machine learning model from parallelm. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- gpt2
- Access
- Public
- Created
- Nov 15, 2025
- Updated
- Nov 15, 2025
- SHA
- 82736179
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_small_KO_superbpe_65536_parallel10_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.9255
- Accuracy: 0.2152
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: 64
- eval_batch_size: 64
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 8.4481 | 1.0 | 1091 | 7.5550 | 0.1653 |
| 7.2492 | 2.0 | 2182 | 6.8281 | 0.1816 |
| 6.7483 | 3.0 | 3273 | 6.5134 | 0.1900 |
| 6.4785 | 4.0 | 4364 | 6.3123 | 0.1973 |
| 6.2894 | 5.0 | 5455 | 6.1725 | 0.2033 |
| 6.1485 | 6.0 | 6546 | 6.0761 | 0.2081 |
| 6.0399 | 7.0 | 7637 | 6.0108 | 0.2114 |
| 5.9577 | 8.0 | 8728 | 5.9641 | 0.2126 |
| 5.8974 | 9.0 | 9819 | 5.9359 | 0.2149 |
| 5.8509 | 10.0 | 10910 | 5.9255 | 0.2152 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Nov 15, 2025
- Updated
- Nov 15, 2025