flan-t5-small-finetuned-scientific-articles – AI Model by juliosocher | AlphaNeural AI

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juliosocher/
flan-t5-small-finetuned-scientific-articles

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text2text-generation

generated_from_trainer

scientific_papers

google/flan-t5-small

text-generation-inference

endpoints_compatible

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flan-t5-small-finetuned-scientific-articles

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

Loss: 2.6792
Rouge1: 8.0297
Rouge2: 2.5421
Rougel: 6.6908
Rougelsum: 7.3431

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: 5.6e-05
train_batch_size: 9
eval_batch_size: 9
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.0943	1.0	56	2.8262	3.9456	1.1211	3.3527	3.6682
3.0216	2.0	112	2.7682	6.0659	1.6822	5.2499	5.7102
2.9495	3.0	168	2.7316	7.4704	2.4232	6.2443	6.913
2.9057	4.0	224	2.7050	7.8789	2.6559	6.5559	7.1858
2.8622	5.0	280	2.6792	8.0297	2.5421	6.6908	7.3431

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1