unlearn_samsum_t5-xl_bad_teaching_4_42 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_samsum_t5-xl_bad_teaching_4_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: 90.1546
Rouge1: 1.4642
Rouge2: 0.0
Rougel: 1.4614
Rougelsum: 1.472
Gen Len: 126.9838
Test Rougel: 1.4726
Df Rougel: 1.778
Unlearn Overall Rougel: 0.3473
Unlearn Time: 15175.6199

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	0.99	36	36.5289	1.8028	0.0387	2.2412	1.7834	113.8375	0.2735	0.2735	-1
No log	2.0	73	86.9671	1.4642	0.0	1.778	1.472	126.7075	0.3473	0.3473	-1
No log	2.47	90	90.1546	1.4642	0.0	1.778	1.472	126.9838	0.3473	0.3473	-1

Framework versions

Transformers 4.39.3
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2