Downloads · 30 days
12
2% of all-time downloads
gpt2_small_EN_bpe_32768_parallel10_42
parallelm/gpt2_small_EN_bpe_32768_parallel10_42
gpt2_small_EN_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. --
All-time downloads
771
Public
Parameters
110M
13.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors441 MB · 100%
At a glance
- Model type
- gpt2
- Access
- Public
- Created
- Nov 15, 2025
- Updated
- Nov 15, 2025
- SHA
- c5ef4953
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_32768_parallel10_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2521
- Accuracy: 0.4121
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 |
|---|---|---|---|---|
| 5.3067 | 1.0 | 1783 | 3.8158 | 0.3634 |
| 3.7336 | 2.0 | 3566 | 3.5782 | 0.3808 |
| 3.5417 | 3.0 | 5349 | 3.4642 | 0.3913 |
| 3.4324 | 4.0 | 7132 | 3.3926 | 0.3981 |
| 3.3768 | 5.0 | 8915 | 3.3437 | 0.4025 |
| 3.3057 | 6.0 | 10698 | 3.3091 | 0.4064 |
| 3.2559 | 7.0 | 12481 | 3.2832 | 0.4083 |
| 3.2179 | 8.0 | 14264 | 3.2675 | 0.4103 |
| 3.1878 | 9.0 | 16047 | 3.2560 | 0.4120 |
| 3.1686 | 10.0 | 17830 | 3.2521 | 0.4121 |
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