flan-t5-base-xsum-swe – AI Model by Gabriel | AlphaNeural AI

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flan-t5-base-xsum-swe

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text2text-generation

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flan-t5-base-xsum-swe

This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.4174
Rouge1: 20.3004
Rouge2: 6.2309
Rougel: 17.5863
Rougelsum: 17.5827
Gen Len: 18.9998

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: 16
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
1.8384	1.0	12751	1.6491	19.0409	5.1339	16.3642	16.3725	19.0
1.6806	2.0	25502	1.5189	19.882	5.7451	17.1187	17.1233	19.0
1.5961	3.0	38253	1.4575	20.237	6.1009	17.4642	17.4647	18.9998
1.5556	4.0	51004	1.4268	20.2998	6.2217	17.5423	17.541	18.9998
1.5429	5.0	63755	1.4174	20.3004	6.2309	17.5863	17.5827	18.9998

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2