Downloads · 30 days
5
2% of all-time downloads
gpt2_small_RU_unigram_32768_parallel10_42
parallelm/gpt2_small_RU_unigram_32768_parallel10_42
gpt2_small_RU_unigram_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
308
Public
Parameters
110M
13.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors441 MB · 99%
At a glance
- Model type
- gpt2
- Access
- Public
- Created
- Nov 13, 2025
- Updated
- Nov 13, 2025
- SHA
- b9a54258
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_32768_parallel10_42
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7616
- Accuracy: 0.3826
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 |
|---|---|---|---|---|
| 6.1208 | 1.0 | 1565 | 4.7137 | 0.3153 |
| 4.4535 | 2.0 | 3130 | 4.2867 | 0.3404 |
| 4.2578 | 3.0 | 4695 | 4.0961 | 0.3539 |
| 4.0432 | 4.0 | 6260 | 3.9797 | 0.3627 |
| 3.9633 | 5.0 | 7825 | 3.9034 | 0.3696 |
| 3.8538 | 6.0 | 9390 | 3.8517 | 0.3737 |
| 3.8109 | 7.0 | 10955 | 3.8126 | 0.3772 |
| 3.7401 | 8.0 | 12520 | 3.7849 | 0.3805 |
| 3.6996 | 9.0 | 14085 | 3.7691 | 0.3816 |
| 3.6762 | 10.0 | 15650 | 3.7616 | 0.3826 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Nov 13, 2025
- Updated
- Nov 13, 2025