unlearn_samsum_t5-xl_random_label_8_42 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_samsum_t5-xl_random_label_8_42

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google/t5-v1_1-xl

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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: 1.1657
Rouge1: 55.3677
Rouge2: 30.6852
Rougel: 46.2269
Rougelsum: 51.0208
Gen Len: 26.4425
Test Rougel: 46.1908
Df Rougel: 48.4516
Unlearn Overall Rougel: -0.6304
Unlearn Time: 15867.8454

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	460	1.1297	54.4419	30.2043	48.1778	50.3892	25.1638	-0.9461	-0.9461	-1
No log	2.0	920	1.1472	55.2898	30.904	48.1168	51.2402	26.2112	-0.4202	-0.4202	-1
1.1751	2.5	1150	1.1657	55.3677	30.6852	48.4516	51.0208	26.4425	-0.6304	-0.6304	-1

Framework versions

Transformers 4.39.3
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2