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--- |
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license: apache-2.0 |
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base_model: tiiuae/falcon-7b |
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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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- f1 |
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model-index: |
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- name: cicids2018-falcon7b |
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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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# cicids2018-falcon7b |
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This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2465 |
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- Accuracy: 0.5 |
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- F1: 0.0 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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: 4 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:| |
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| 0.7359 | 1.0 | 24 | 1.3954 | 0.5 | 0.0 | |
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| 1.3324 | 2.0 | 48 | 1.3244 | 0.5 | 0.0 | |
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| 1.8502 | 3.0 | 72 | 1.2808 | 0.5 | 0.0 | |
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| 0.0832 | 4.0 | 96 | 1.2465 | 0.5 | 0.0 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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