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

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flan-t5-base-samsum

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text2text-generation

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text-generation-inference

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flan-t5-base-samsum

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

Loss: 1.3721
Rouge1: 47.698
Rouge2: 23.8078
Rougel: 40.1138
Rougelsum: 43.7749
Gen Len: 17.2759

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
1.4403	1.0	1842	1.3822	47.3182	23.8486	39.7145	43.5756	17.0256
1.3572	2.0	3684	1.3747	47.5891	23.6341	39.7983	43.6862	17.4347
1.2822	3.0	5526	1.3721	47.698	23.8078	40.1138	43.7749	17.2759
1.2375	4.0	7368	1.3764	47.7671	24.1413	40.1597	43.9313	17.2943
1.1935	5.0	9210	1.3781	47.626	23.7564	39.844	43.7166	17.3077

Framework versions

Transformers 4.27.3
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2