Downloads · 30 days
5
2% of all-time downloads
gpt2_small_FI_superbpe_5102_parallel10_42
parallelm/gpt2_small_FI_superbpe_5102_parallel10_42
gpt2_small_FI_superbpe_5102_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
225
Public
Parameters
89.1M
11 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors356 MB · 100%
At a glance
- Model type
- gpt2
- Access
- Public
- Created
- Feb 4, 2026
- Updated
- Feb 4, 2026
- SHA
- fe0ed3b7
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_FI_superbpe_5102_parallel10_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5577
- Accuracy: 0.3564
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 |
|---|---|---|---|---|
| 6.2317 | 1.0 | 1560 | 4.6895 | 0.2284 |
| 4.3472 | 2.0 | 3120 | 4.1117 | 0.2887 |
| 4.0993 | 3.0 | 4680 | 3.8945 | 0.3138 |
| 3.8597 | 4.0 | 6240 | 3.7755 | 0.3275 |
| 3.7779 | 5.0 | 7800 | 3.7009 | 0.3369 |
| 3.6718 | 6.0 | 9360 | 3.6493 | 0.3427 |
| 3.6293 | 7.0 | 10920 | 3.6117 | 0.3481 |
| 3.5622 | 8.0 | 12480 | 3.5843 | 0.3517 |
| 3.5229 | 9.0 | 14040 | 3.5667 | 0.3557 |
| 3.4968 | 10.0 | 15600 | 3.5577 | 0.3564 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Feb 4, 2026
- Updated
- Feb 4, 2026