flan-t5-large-samsum – AI Model by andgonzalez | AlphaNeural AI

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andgonzalez/
flan-t5-large-samsum

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text2text-generation

generated_from_trainer

google/flan-t5-large

text-generation-inference

endpoints_compatible

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flan-t5-large-samsum

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

Loss: 1.2066
Rouge1: 49.1053
Rouge2: 25.4565
Rougel: 41.9146
Rougelsum: 45.3592
Gen Len: 17.1380

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
1.1847	1.0	1844	1.2066	49.1053	25.4565	41.9146	45.3592	17.1380
1.0533	2.0	3688	1.2126	49.5421	26.1526	42.1131	45.5735	17.2564
0.9521	3.0	5532	1.2315	49.7252	26.1855	42.2726	45.747	17.3358
0.8746	4.0	7376	1.2510	49.4306	25.9048	41.9821	45.4322	17.4750
0.8334	5.0	9220	1.2631	49.4852	25.9416	42.0469	45.5014	17.3944

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1