redteaming_model_flanT5_classification_2
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: 0.4310
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 | 147 | 0.4450 |
| No log | 2.0 | 294 | 0.4392 |
| No log | 3.0 | 441 | 0.4383 |
| 0.4821 | 4.0 | 588 | 0.4360 |
| 0.4821 | 5.0 | 735 | 0.4310 |
| 0.4821 | 6.0 | 882 | 0.4347 |
| 0.4247 | 7.0 | 1029 | 0.4327 |
| 0.4247 | 8.0 | 1176 | 0.4545 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1