Downloads · 30 days
11
3% of all-time downloads
gpt2_small_TR_bpe_8192_parallel10_42
parallelm/gpt2_small_TR_bpe_8192_parallel10_42
gpt2_small_TR_bpe_8192_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
393
Public
Parameters
91.4M
11.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors366 MB · 100%
At a glance
- Model type
- gpt2
- Access
- Public
- Created
- Oct 30, 2025
- Updated
- Oct 30, 2025
- SHA
- e6d7deca
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_TR_bpe_8192_parallel10_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4098
- Accuracy: 0.4091
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: 128
- eval_batch_size: 128
- seed: 42
- 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 |
|---|---|---|---|---|
| 5.7146 | 1.0 | 1678 | 4.2613 | 0.3234 |
| 4.0578 | 2.0 | 3356 | 3.8464 | 0.3614 |
| 3.7603 | 3.0 | 5034 | 3.6812 | 0.3778 |
| 3.6646 | 4.0 | 6712 | 3.5900 | 0.3875 |
| 3.5554 | 5.0 | 8390 | 3.5278 | 0.3938 |
| 3.4828 | 6.0 | 10068 | 3.4856 | 0.3990 |
| 3.439 | 7.0 | 11746 | 3.4533 | 0.4035 |
| 3.3943 | 8.0 | 13424 | 3.4324 | 0.4059 |
| 3.3598 | 9.0 | 15102 | 3.4167 | 0.4081 |
| 3.3381 | 10.0 | 16780 | 3.4098 | 0.4091 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.9.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Oct 30, 2025
- Updated
- Oct 30, 2025