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--- |
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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: sentiment-polish-gpt2-small |
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results: [] |
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license: mit |
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language: |
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- pl |
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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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# sentiment-polish-gpt2-small |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4659 |
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- Accuracy: 0.9627 |
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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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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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: 10 |
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- mixed_precision_training: Native AMP |
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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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| 0.4049 | 1.0 | 3284 | 0.3351 | 0.8792 | |
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| 0.1885 | 2.0 | 6568 | 0.2625 | 0.9218 | |
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| 0.1182 | 3.0 | 9852 | 0.2583 | 0.9419 | |
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| 0.0825 | 4.0 | 13136 | 0.2886 | 0.9482 | |
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| 0.0586 | 5.0 | 16420 | 0.3343 | 0.9538 | |
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| 0.034 | 6.0 | 19704 | 0.3734 | 0.9595 | |
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| 0.0288 | 7.0 | 22988 | 0.4125 | 0.9599 | |
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| 0.0185 | 8.0 | 26273 | 0.4262 | 0.9626 | |
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| 0.0069 | 9.0 | 29557 | 0.4529 | 0.9622 | |
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| 0.0059 | 10.0 | 32840 | 0.4659 | 0.9627 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
