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gpt2_small_ZH_bpe_32768_parallel3_42
parallelm/gpt2_small_ZH_bpe_32768_parallel3_42
gpt2_small_ZH_bpe_32768_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. --
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At a glance
- Model type
- gpt2
- Access
- Public
- Created
- Feb 24, 2026
- Updated
- Feb 24, 2026
- SHA
- 6bb58e74
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_bpe_32768_parallel3_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9379
- Accuracy: 0.3478
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 |
|---|---|---|---|---|
| 4.4821 | 1.0 | 22680 | 4.3902 | 0.3030 |
| 4.2733 | 2.0 | 45360 | 4.2038 | 0.3201 |
| 4.1714 | 3.0 | 68040 | 4.1176 | 0.3292 |
| 4.1124 | 4.0 | 90720 | 4.0659 | 0.3329 |
| 4.066 | 5.0 | 113400 | 4.0286 | 0.3377 |
| 4.0305 | 6.0 | 136080 | 4.0010 | 0.3404 |
| 3.9985 | 7.0 | 158760 | 3.9791 | 0.3434 |
| 3.9729 | 8.0 | 181440 | 3.9605 | 0.3451 |
| 3.9466 | 9.0 | 204120 | 3.9464 | 0.3470 |
| 3.9254 | 10.0 | 226800 | 3.9379 | 0.3478 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Feb 24, 2026
- Updated
- Feb 24, 2026