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

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irahnarach/
flan-t5-base-samsum

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text2text-generation

generated_from_trainer

google/flan-t5-base

text-generation-inference

endpoints_compatible

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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: 1.3739
Rouge1: 47.2699
Rouge2: 23.4519
Rougel: 39.7967
Rougelsum: 43.4245
Gen Len: 17.2466

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
1.4528	1.0	1842	1.3864	46.717	22.7929	39.0158	42.8051	17.3993
1.3385	2.0	3684	1.3745	46.9164	23.2729	39.1493	42.9674	17.3431
1.2711	3.0	5526	1.3742	47.2947	23.4877	39.6201	43.4517	17.4493
1.2284	4.0	7368	1.3739	47.2699	23.4519	39.7967	43.4245	17.2466
1.2085	5.0	9210	1.3754	47.4319	23.7124	39.8299	43.6261	17.2967

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0