imwizard/redteaming_model_flanT5_classification_1

results

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: 0.4802

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	0.4424
No log	2.0	294	0.4278
No log	3.0	441	0.4246
0.493	4.0	588	0.4282
0.493	5.0	735	0.4263
0.493	6.0	882	0.4384
0.417	7.0	1029	0.4556
0.417	8.0	1176	0.4548
0.417	9.0	1323	0.4768
0.417	10.0	1470	0.4802

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1