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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: 2.3047 |
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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 | 9 | 5.4981 | |
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| No log | 2.0 | 18 | 4.7485 | |
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| No log | 3.0 | 27 | 4.2960 | |
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| No log | 4.0 | 36 | 4.0269 | |
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| No log | 5.0 | 45 | 3.0733 | |
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| No log | 6.0 | 54 | 2.9759 | |
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| No log | 7.0 | 63 | 2.5961 | |
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| No log | 8.0 | 72 | 2.3365 | |
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| No log | 9.0 | 81 | 2.4470 | |
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| No log | 10.0 | 90 | 2.3994 | |
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| No log | 11.0 | 99 | 2.3914 | |
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| No log | 12.0 | 108 | 2.3324 | |
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| No log | 13.0 | 117 | 2.2978 | |
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| No log | 14.0 | 126 | 2.2797 | |
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| No log | 15.0 | 135 | 2.2886 | |
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| No log | 16.0 | 144 | 2.2969 | |
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| No log | 17.0 | 153 | 2.3091 | |
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| No log | 18.0 | 162 | 2.2597 | |
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| No log | 19.0 | 171 | 2.3080 | |
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| No log | 20.0 | 180 | 2.3047 | |
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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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