|
--- |
|
license: mit |
|
library_name: peft |
|
tags: |
|
- generated_from_trainer |
|
base_model: microsoft/phi-2 |
|
metrics: |
|
- accuracy |
|
- f1 |
|
- precision |
|
- recall |
|
model-index: |
|
- name: phi-finetuned-spam |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# phi-finetuned-spam |
|
|
|
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co./microsoft/phi-2) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0822 |
|
- Accuracy: 0.989 |
|
- F1: 0.9890 |
|
- Precision: 0.9880 |
|
- Recall: 0.99 |
|
|
|
## 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: 3.628060796399553e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 2 |
|
- seed: 31 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
|
| 0.1312 | 1.0 | 1125 | 0.1122 | 0.974 | 0.9735 | 0.9917 | 0.956 | |
|
| 0.0224 | 2.0 | 2250 | 0.0822 | 0.989 | 0.9890 | 0.9880 | 0.99 | |
|
| 0.0654 | 3.0 | 3375 | 0.0806 | 0.988 | 0.988 | 0.988 | 0.988 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.2 |
|
- Tokenizers 0.19.1 |