redteaming_model_flanT5_classification_3
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2185
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 46 | 0.4301 |
| No log | 2.0 | 92 | 0.3396 |
| No log | 3.0 | 138 | 0.2838 |
| No log | 4.0 | 184 | 0.2605 |
| No log | 5.0 | 230 | 0.2405 |
| No log | 6.0 | 276 | 0.2315 |
| No log | 7.0 | 322 | 0.2239 |
| No log | 8.0 | 368 | 0.2209 |
| No log | 9.0 | 414 | 0.2188 |
| No log | 10.0 | 460 | 0.2185 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1