flan-t5-base-combined – AI Model by TerryLaw535 | AlphaNeural AI

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TerryLaw535/
flan-t5-base-combined

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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-combined

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: 1.9756
Rouge1: 41.6396
Rouge2: 16.2853
Rougel: 30.6526
Rougelsum: 38.3228
Gen Len: 96.9400

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.2075	1.0	5435	2.0439	39.7324	14.7723	29.4479	36.4427	93.9466
2.094	2.0	10870	2.0249	40.3667	15.3038	29.6423	37.1363	96.9290
2.0306	3.0	16305	2.0199	40.6314	15.4077	29.72	37.3677	97.4958

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2