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

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philschmid/
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: 1.3716
Rouge1: 47.2358
Rouge2: 23.5135
Rougel: 39.6266
Rougelsum: 43.3458
Gen Len: 17.3907

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
1.4379	1.0	1842	1.3805	47.1075	23.531	39.6919	43.549	17.1197
1.3559	2.0	3684	1.3716	47.2358	23.5135	39.6266	43.3458	17.3907
1.2783	3.0	5526	1.3721	47.4581	23.7339	39.7726	43.4568	17.1832
1.2378	4.0	7368	1.3757	47.8557	24.0593	40.2324	44.0085	17.3053
1.1983	5.0	9210	1.3751	47.8156	24.0038	40.2169	43.8918	17.3040

Framework versions

Transformers 4.25.1
Pytorch 1.12.1+cu113
Datasets 2.8.0
Tokenizers 0.12.1