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