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--- |
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base_model: apanc/russian-inappropriate-messages |
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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: dnd2 |
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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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# dnd2 |
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This model is a fine-tuned version of [apanc/russian-inappropriate-messages](https://huggingface.co/apanc/russian-inappropriate-messages) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1599 |
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- Accuracy: 0.9298 |
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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-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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: 12 |
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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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| No log | 1.0 | 15 | 0.9829 | 0.6316 | |
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| No log | 2.0 | 30 | 0.5511 | 0.7193 | |
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| No log | 3.0 | 45 | 0.3689 | 0.8421 | |
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| No log | 4.0 | 60 | 0.2890 | 0.9123 | |
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| No log | 5.0 | 75 | 0.2439 | 0.8947 | |
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| No log | 6.0 | 90 | 0.2130 | 0.8947 | |
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| No log | 7.0 | 105 | 0.1932 | 0.8947 | |
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| No log | 8.0 | 120 | 0.1789 | 0.9123 | |
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| No log | 9.0 | 135 | 0.1702 | 0.9123 | |
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| No log | 10.0 | 150 | 0.1643 | 0.9123 | |
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| No log | 11.0 | 165 | 0.1610 | 0.9123 | |
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| No log | 12.0 | 180 | 0.1599 | 0.9298 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.13.2 |
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