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--- |
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license: apache-2.0 |
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base_model: distilbert-base-cased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilbert-base-cased-logdetective-extraction-retrained |
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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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# distilbert-base-cased-logdetective-extraction-retrained |
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.8233 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 11 | 5.6496 | |
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| No log | 2.0 | 22 | 4.6587 | |
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| No log | 3.0 | 33 | 3.9848 | |
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| No log | 4.0 | 44 | 3.8507 | |
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| No log | 5.0 | 55 | 3.8008 | |
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| No log | 6.0 | 66 | 3.8792 | |
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| No log | 7.0 | 77 | 3.7424 | |
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| No log | 8.0 | 88 | 3.7718 | |
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| No log | 9.0 | 99 | 3.7890 | |
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| No log | 10.0 | 110 | 3.7310 | |
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| No log | 11.0 | 121 | 3.7770 | |
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| No log | 12.0 | 132 | 3.8769 | |
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| No log | 13.0 | 143 | 3.8011 | |
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| No log | 14.0 | 154 | 3.7797 | |
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| No log | 15.0 | 165 | 3.7930 | |
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| No log | 16.0 | 176 | 3.8179 | |
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| No log | 17.0 | 187 | 3.7452 | |
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| No log | 18.0 | 198 | 3.8175 | |
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| No log | 19.0 | 209 | 3.8055 | |
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| No log | 20.0 | 220 | 3.8233 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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