unlearn_samsum_t5-xl_random_label_10_42 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_samsum_t5-xl_random_label_10_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: 1.1548
Rouge1: 55.349
Rouge2: 31.0753
Rougel: 46.5713
Rougelsum: 51.4867
Gen Len: 26.39
Test Rougel: 46.5187
Df Rougel: 47.8061
Unlearn Overall Rougel: -0.1437
Unlearn Time: 18146.2270

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	1.1377	55.2301	31.2534	47.6174	51.3323	27.035	-0.1324	-0.1324	-1
No log	2.0	920	1.1396	55.3997	30.946	48.0727	51.2131	25.5025	-0.3430	-0.3430	-1
1.3263	2.5	1150	1.1548	55.349	31.0753	47.8061	51.4867	26.39	-0.1437	-0.1437	-1

Framework versions

Transformers 4.39.3
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2