Downloads · 30 days
5
2% of all-time downloads
gpt2_small_RU_unigram_81920_parallel10_42
parallelm/gpt2_small_RU_unigram_81920_parallel10_42
gpt2_small_RU_unigram_81920_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
232
Public
Parameters
148M
17.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors592 MB · 98%
At a glance
- Model type
- gpt2
- Access
- Public
- Created
- Nov 14, 2025
- Updated
- Nov 14, 2025
- SHA
- 3b251bfd
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_RU_unigram_81920_parallel10_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9906
- Accuracy: 0.3810
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 |
|---|---|---|---|---|
| 6.4087 | 1.0 | 1462 | 4.9598 | 0.3232 |
| 4.9938 | 2.0 | 2924 | 4.5105 | 0.3467 |
| 4.4376 | 3.0 | 4386 | 4.3164 | 0.3585 |
| 4.312 | 4.0 | 5848 | 4.2030 | 0.3650 |
| 4.1451 | 5.0 | 7310 | 4.1265 | 0.3705 |
| 4.08 | 6.0 | 8772 | 4.0741 | 0.3745 |
| 3.9916 | 7.0 | 10234 | 4.0380 | 0.3770 |
| 3.9526 | 8.0 | 11696 | 4.0119 | 0.3791 |
| 3.9028 | 9.0 | 13158 | 3.9970 | 0.3803 |
| 3.8818 | 10.0 | 14620 | 3.9906 | 0.3810 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Nov 14, 2025
- Updated
- Nov 14, 2025