rugpt3large_5epoch_withval
This model is a fine-tuned version of ai-forever/rugpt3large_based_on_gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6271
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.738 | 1.0000 | 24244 | 3.6641 |
| 3.7271 | 2.0000 | 48488 | 3.6466 |
| 3.7072 | 3.0 | 72733 | 3.6372 |
| 3.6851 | 4.0000 | 96977 | 3.6301 |
| 3.6827 | 4.9999 | 121220 | 3.6271 |
Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.42.0.dev0
- Pytorch 2.0.1+cu118
- Tokenizers 0.19.1
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Base model
ai-forever/rugpt3large_based_on_gpt2