flan-t5-base-samsum – AI Model by ahp2024 | AlphaNeural AI

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ahp2024/
flan-t5-base-samsum

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text2text-generation

generated_from_trainer

google/flan-t5-base

text-generation-inference

endpoints_compatible

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flan-t5-base-samsum

This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.3771
Rouge1: 47.3024
Rouge2: 23.4912
Rougel: 39.6794
Rougelsum: 43.4399
Gen Len: 17.2357

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.4566	1.0	1842	1.3834	46.8634	22.884	39.1242	43.0264	17.4493
1.3394	2.0	3684	1.3741	47.2336	23.5909	39.8344	43.4891	17.1819
1.2786	3.0	5526	1.3692	47.1939	23.4592	39.8068	43.2328	17.1612
1.2274	4.0	7368	1.3776	47.634	24.0817	40.193	43.9771	17.4042
1.2028	5.0	9210	1.3771	47.3024	23.4912	39.6794	43.4399	17.2357

Framework versions

Transformers 4.38.1
Pytorch 2.2.1+cu121
Datasets 2.17.1
Tokenizers 0.15.0