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gpt2_small_KO_bpe_32768_parallel10_42
parallelm/gpt2_small_KO_bpe_32768_parallel10_42
gpt2_small_KO_bpe_32768_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
- 8216c114
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_bpe_32768_parallel10_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.6539
- Accuracy: 0.3225
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 |
|---|---|---|---|---|
| 6.9532 | 1.0 | 1339 | 5.7450 | 0.2658 |
| 5.718 | 2.0 | 2678 | 5.2677 | 0.2853 |
| 5.1453 | 3.0 | 4017 | 5.0392 | 0.2980 |
| 4.9921 | 4.0 | 5356 | 4.9022 | 0.3057 |
| 4.887 | 5.0 | 6695 | 4.8130 | 0.3123 |
| 4.7473 | 6.0 | 8034 | 4.7529 | 0.3156 |
| 4.6843 | 7.0 | 9373 | 4.7103 | 0.3178 |
| 4.6425 | 8.0 | 10712 | 4.6808 | 0.3196 |
| 4.5822 | 9.0 | 12051 | 4.6619 | 0.3216 |
| 4.5558 | 10.0 | 13390 | 4.6539 | 0.3225 |
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