redteaming_model_flanT5_classification_6
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: 0.0021
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
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Model tree for imwizard/redteaming_model_flanT5_classification_6
Base model
google/flan-t5-base