touring2 – AI Model by acrowth | AlphaNeural AI

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acrowth/
touring2

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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touring2

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: 1.4042
Rouge1: 60.0314
Rouge2: 42.51
Rougel: 59.8461
Rougelsum: 59.6885
Gen Len: 9.6526

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: 1
eval_batch_size: 1
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
1.6599	1.0	1249	1.4452	52.1368	34.9356	51.6433	51.7033	9.4643
1.2659	2.0	2498	1.4013	53.5023	35.6721	53.0881	53.1954	9.6526
1.1027	3.0	3747	1.3475	59.004	41.5484	58.8625	58.785	9.6818
0.9453	4.0	4996	1.3966	58.5942	40.7989	58.3943	58.3703	9.7516
0.9083	5.0	6245	1.4042	60.0314	42.51	59.8461	59.6885	9.6526

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2