metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: rus_gpt2
results: []
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