jialicheng/unlearn_samsum_t5-xl_bad_teaching_10_42

samsum_42

This model is a fine-tuned version of google/t5-v1_1-xl on the samsum dataset. It achieves the following results on the evaluation set:

• Loss: 165.9129
• Rouge1: 0.0
• Rouge2: 0.0
• Rougel: 0.0
• Rougelsum: 0.0
• Gen Len: 127.0
• Test Rougel: 0.0
• Df Rougel: 0.0
• Unlearn Overall Rougel: 0.5
• Unlearn Time: 26613.4900

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2.5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len	Overall Rougel	Unlearn Overall Rougel	Time
No log	1.0	92	105.2831	1.4631	0.0	1.458	1.4596	127.0	0.5073	0.5073	-1
No log	2.0	184	158.8136	0.0	0.0	0.0	0.0	127.0	0.5	0.5	-1
No log	2.5	230	165.9129	0.0	0.0	0.0	0.0	127.0	0.5	0.5	-1

Framework versions

• Transformers 4.39.3
• Pytorch 2.3.0+cu121
• Datasets 2.19.0
• Tokenizers 0.15.2