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rus_gpt2
SaviAnna/rus_gpt2
rus_gpt2 is a machine learning model from SaviAnna. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Aug 7, 2024
- Updated
- Aug 7, 2024
- SHA
- 48b82f64
Base models
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. -->
rus_gpt2
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7236
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: 0.005
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.8953 | 0.1698 | 1000 | 3.4876 |
| 3.367 | 0.3396 | 2000 | 3.1754 |
| 3.1352 | 0.5094 | 3000 | 2.9977 |
| 2.9605 | 0.6792 | 4000 | 2.8416 |
| 2.8138 | 0.8490 | 5000 | 2.7236 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- gpt2
- License
- mit
- Created
- Aug 7, 2024
- Updated
- Aug 7, 2024