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gpt2_medium_ZH_bpe_65536_parallel3_42
parallelm/gpt2_medium_ZH_bpe_65536_parallel3_42
gpt2_medium_ZH_bpe_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. --
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At a glance
- Model type
- gpt2
- Access
- Public
- Created
- Feb 16, 2026
- Updated
- Feb 16, 2026
- SHA
- 0ab3520a
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_medium_ZH_bpe_65536_parallel3_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.0646
- Accuracy: 0.3554
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 |
|---|---|---|---|---|
| 4.6148 | 1.0 | 21175 | 4.5518 | 0.3060 |
| 4.3771 | 2.0 | 42350 | 4.3424 | 0.3237 |
| 4.2525 | 3.0 | 63525 | 4.2475 | 0.3329 |
| 4.1606 | 4.0 | 84700 | 4.1887 | 0.3395 |
| 4.0907 | 5.0 | 105875 | 4.1486 | 0.3423 |
| 4.0306 | 6.0 | 127050 | 4.1190 | 0.3468 |
| 3.9748 | 7.0 | 148225 | 4.0979 | 0.3497 |
| 3.9247 | 8.0 | 169400 | 4.0809 | 0.3525 |
| 3.8782 | 9.0 | 190575 | 4.0697 | 0.3547 |
| 3.8297 | 10.0 | 211750 | 4.0646 | 0.3554 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Feb 16, 2026
- Updated
- Feb 16, 2026