| | --- |
| | base_model: apanc/russian-inappropriate-messages |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: dnd2 |
| | 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. --> |
| |
|
| | # dnd2 |
| |
|
| | This model is a fine-tuned version of [apanc/russian-inappropriate-messages](https://huggingface.co/apanc/russian-inappropriate-messages) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1599 |
| | - Accuracy: 0.9298 |
| |
|
| | ## 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: 2e-06 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 12 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 15 | 0.9829 | 0.6316 | |
| | | No log | 2.0 | 30 | 0.5511 | 0.7193 | |
| | | No log | 3.0 | 45 | 0.3689 | 0.8421 | |
| | | No log | 4.0 | 60 | 0.2890 | 0.9123 | |
| | | No log | 5.0 | 75 | 0.2439 | 0.8947 | |
| | | No log | 6.0 | 90 | 0.2130 | 0.8947 | |
| | | No log | 7.0 | 105 | 0.1932 | 0.8947 | |
| | | No log | 8.0 | 120 | 0.1789 | 0.9123 | |
| | | No log | 9.0 | 135 | 0.1702 | 0.9123 | |
| | | No log | 10.0 | 150 | 0.1643 | 0.9123 | |
| | | No log | 11.0 | 165 | 0.1610 | 0.9123 | |
| | | No log | 12.0 | 180 | 0.1599 | 0.9298 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.32.1 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.13.2 |
| |
|
