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--- |
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base_model: ai-forever/rugpt3small_based_on_gpt2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: output |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# output |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7083 |
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- Accuracy: 0.5209 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1.41e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 24 |
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- total_train_batch_size: 192 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.7676 | 0.13 | 50 | 0.7502 | 0.4717 | |
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| 0.7482 | 0.25 | 100 | 0.7369 | 0.4830 | |
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| 0.7414 | 0.38 | 150 | 0.7276 | 0.4915 | |
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| 0.7261 | 0.5 | 200 | 0.7205 | 0.5062 | |
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| 0.7272 | 0.63 | 250 | 0.7143 | 0.5132 | |
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| 0.7209 | 0.76 | 300 | 0.7106 | 0.5148 | |
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| 0.7218 | 0.88 | 350 | 0.7083 | 0.5209 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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