redteaming_model_flanT5_classification_5
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: 0.2196
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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 | 15.0414 |
No log | 2.0 | 92 | 4.7656 |
No log | 3.0 | 138 | 3.8239 |
No log | 4.0 | 184 | 2.1320 |
No log | 5.0 | 230 | 1.1990 |
No log | 6.0 | 276 | 0.6352 |
No log | 7.0 | 322 | 0.4020 |
No log | 8.0 | 368 | 0.2856 |
No log | 9.0 | 414 | 0.2323 |
No log | 10.0 | 460 | 0.2196 |
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_5
Base model
google/flan-t5-base