|
|
--- |
|
|
license: apache-2.0 |
|
|
base_model: google/flan-t5-base |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: redteaming_model_flanT5_classification_6 |
|
|
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. --> |
|
|
|
|
|
# redteaming_model_flanT5_classification_6 |
|
|
|
|
|
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.0021 |
|
|
|
|
|
## 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: 4 |
|
|
- eval_batch_size: 4 |
|
|
- seed: 42 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 15 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| No log | 1.0 | 92 | 4.8069 | |
|
|
| No log | 2.0 | 184 | 2.0502 | |
|
|
| No log | 3.0 | 276 | 0.2753 | |
|
|
| No log | 4.0 | 368 | 0.0783 | |
|
|
| No log | 5.0 | 460 | 0.0133 | |
|
|
| 5.0291 | 6.0 | 552 | 0.0050 | |
|
|
| 5.0291 | 7.0 | 644 | 0.0032 | |
|
|
| 5.0291 | 8.0 | 736 | 0.0026 | |
|
|
| 5.0291 | 9.0 | 828 | 0.0024 | |
|
|
| 5.0291 | 10.0 | 920 | 0.0023 | |
|
|
| 0.0109 | 11.0 | 1012 | 0.0022 | |
|
|
| 0.0109 | 12.0 | 1104 | 0.0021 | |
|
|
| 0.0109 | 13.0 | 1196 | 0.0021 | |
|
|
| 0.0109 | 14.0 | 1288 | 0.0021 | |
|
|
| 0.0109 | 15.0 | 1380 | 0.0021 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.42.4 |
|
|
- Pytorch 2.3.1+cu121 |
|
|
- Datasets 2.20.0 |
|
|
- Tokenizers 0.19.1 |
|
|
|