metadata
library_name: transformers
base_model: ai-forever/rugpt3small_based_on_gpt2
tags:
- generated_from_trainer
model-index:
- name: aristotle_csv3
results: []
aristotle_csv3
This model is a fine-tuned version of ai-forever/rugpt3small_based_on_gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5019
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.1139 | 1.0 | 203 | 3.7183 |
| 3.5598 | 2.0 | 406 | 3.4522 |
| 3.2762 | 3.0 | 609 | 3.3321 |
| 3.0039 | 4.0 | 812 | 3.3035 |
| 2.7239 | 5.0 | 1015 | 3.2801 |
| 2.4871 | 6.0 | 1218 | 3.3728 |
| 2.277 | 7.0 | 1421 | 3.4348 |
| 2.1079 | 8.0 | 1624 | 3.5019 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0