| --- |
| base_model: ai-forever/rugpt3small_based_on_gpt2 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: output |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # output |
|
|
| This model is a fine-tuned version of [ai-forever/rugpt3small_based_on_gpt2](https://huggingface.co/ai-forever/rugpt3small_based_on_gpt2) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7083 |
| - Accuracy: 0.5209 |
|
|
| ## 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: 1.41e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 24 |
| - total_train_batch_size: 192 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.7676 | 0.13 | 50 | 0.7502 | 0.4717 | |
| | 0.7482 | 0.25 | 100 | 0.7369 | 0.4830 | |
| | 0.7414 | 0.38 | 150 | 0.7276 | 0.4915 | |
| | 0.7261 | 0.5 | 200 | 0.7205 | 0.5062 | |
| | 0.7272 | 0.63 | 250 | 0.7143 | 0.5132 | |
| | 0.7209 | 0.76 | 300 | 0.7106 | 0.5148 | |
| | 0.7218 | 0.88 | 350 | 0.7083 | 0.5209 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
| |
