Downloads · 30 days
8
2% of all-time downloads
gpt2_small_EN_bpe_65536_parallel3_42
parallelm/gpt2_small_EN_bpe_65536_parallel3_42
gpt2_small_EN_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. --
All-time downloads
469
Public
Parameters
135M
16.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors542 MB · 99%
At a glance
- Model type
- gpt2
- Access
- Public
- Created
- Feb 7, 2026
- Updated
- Feb 7, 2026
- SHA
- 52f37190
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_EN_bpe_65536_parallel3_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7391
- Accuracy: 0.4738
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 |
|---|---|---|---|---|
| 3.1268 | 1.0 | 30432 | 3.0577 | 0.4344 |
| 2.9896 | 2.0 | 60864 | 2.9355 | 0.4476 |
| 2.9206 | 3.0 | 91296 | 2.8756 | 0.4547 |
| 2.8766 | 4.0 | 121728 | 2.8383 | 0.4588 |
| 2.8434 | 5.0 | 152160 | 2.8114 | 0.4628 |
| 2.8168 | 6.0 | 182592 | 2.7895 | 0.4655 |
| 2.7909 | 7.0 | 213024 | 2.7723 | 0.4683 |
| 2.7714 | 8.0 | 243456 | 2.7580 | 0.4706 |
| 2.7489 | 9.0 | 273888 | 2.7467 | 0.4725 |
| 2.7287 | 10.0 | 304320 | 2.7391 | 0.4738 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Feb 7, 2026
- Updated
- Feb 7, 2026