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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- generator |
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metrics: |
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- accuracy |
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model-index: |
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- name: distilbert-sql-timeout-classifier-2024030111 |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: generator |
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type: generator |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.8218561838189494 |
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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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# distilbert-sql-timeout-classifier-2024030111 |
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This model was trained from scratch on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7922 |
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- Accuracy: 0.8219 |
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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: 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: 3 |
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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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| 0.1895 | 1.0 | 2181 | 0.6169 | 0.8097 | |
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| 0.1498 | 2.0 | 4362 | 0.7710 | 0.8146 | |
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| 0.1169 | 3.0 | 6543 | 0.7922 | 0.8219 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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