metadata
license: apache-2.0
base_model: tiiuae/falcon-7b
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: cicids2018-falcon7b
results: []
cicids2018-falcon7b
This model is a fine-tuned version of tiiuae/falcon-7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2465
- Accuracy: 0.5
- F1: 0.0
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-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7359 | 1.0 | 24 | 1.3954 | 0.5 | 0.0 |
| 1.3324 | 2.0 | 48 | 1.3244 | 0.5 | 0.0 |
| 1.8502 | 3.0 | 72 | 1.2808 | 0.5 | 0.0 |
| 0.0832 | 4.0 | 96 | 1.2465 | 0.5 | 0.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0