unlearn_samsum_t5-xl_random_label_4_42 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
unlearn_samsum_t5-xl_random_label_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: 1.1526
Rouge1: 55.6074
Rouge2: 30.8159
Rougel: 46.3847
Rougelsum: 51.2369
Gen Len: 26.6775
Test Rougel: 46.3254
Df Rougel: 48.0583
Unlearn Overall Rougel: -0.3665
Unlearn Time: 13341.5422

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	1.1255	55.3841	30.8525	47.9686	50.9651	25.2175	-0.3544	-0.3544	-1
No log	2.0	920	1.1402	55.7927	31.5183	47.983	51.649	26.4513	-0.2113	-0.2113	-1
1.099	2.5	1150	1.1526	55.6074	30.8159	48.0583	51.2369	26.6775	-0.3665	-0.3665	-1

Framework versions

Transformers 4.39.3
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2