Downloads · 30 days
7
2% of all-time downloads
gpt2_small_ZH_superbpe_65536_parallel3_42
parallelm/gpt2_small_ZH_superbpe_65536_parallel3_42
gpt2_small_ZH_superbpe_65536_parallel3_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. --
All-time downloads
296
Public
Parameters
135M
16.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors542 MB · 96%
At a glance
- Model type
- gpt2
- Access
- Public
- Created
- Feb 8, 2026
- Updated
- Feb 8, 2026
- SHA
- a6c76ee2
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_ZH_superbpe_65536_parallel3_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.7760
- Accuracy: 0.2616
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 |
|---|---|---|---|---|
| 5.5173 | 1.0 | 18703 | 5.3991 | 0.2119 |
| 5.2097 | 2.0 | 37406 | 5.1239 | 0.2317 |
| 5.0692 | 3.0 | 56109 | 5.0050 | 0.2403 |
| 4.9853 | 4.0 | 74812 | 4.9343 | 0.2460 |
| 4.9216 | 5.0 | 93515 | 4.8846 | 0.2504 |
| 4.8688 | 6.0 | 112218 | 4.8494 | 0.2540 |
| 4.8318 | 7.0 | 130921 | 4.8221 | 0.2566 |
| 4.7962 | 8.0 | 149624 | 4.8009 | 0.2588 |
| 4.7675 | 9.0 | 168327 | 4.7849 | 0.2603 |
| 4.7385 | 10.0 | 187030 | 4.7760 | 0.2616 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Feb 8, 2026
- Updated
- Feb 8, 2026