flan-t5-base-tigger – AI Model by duarteocarmo | AlphaNeural AI

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duarteocarmo/
flan-t5-base-tigger

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text2text-generation

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text-generation-inference

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flan-t5-base-tigger

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: 2.0135
Rouge1: 18.0026
Rouge2: 10.6544
Rougel: 17.8917
Rougelsum: 17.9016
Gen Len: 16.8967

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.2643	1.0	1800	2.0944	18.9867	11.8419	18.9199	18.9118	15.0372
2.1069	2.0	3600	2.0400	17.7894	10.6008	17.6678	17.6848	16.3131
2.0446	3.0	5400	2.0172	18.4179	11.1483	18.2905	18.3525	16.8078
2.0053	4.0	7200	2.0135	18.0026	10.6544	17.8917	17.9016	16.8967

Framework versions

Transformers 4.29.1
Pytorch 2.0.0
Datasets 2.12.0
Tokenizers 0.13.3