t5-base-finetuned-pubmed – AI Model by Kevincp560 | AlphaNeural AI

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Kevincp560/
t5-base-finetuned-pubmed

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text2text-generation

generated_from_trainer

pub_med_summarization_dataset

text-generation-inference

endpoints_compatible

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t5-base-finetuned-pubmed

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

Loss: 2.6311
Rouge1: 9.3771
Rouge2: 3.7042
Rougel: 8.4912
Rougelsum: 9.0013
Gen Len: 19.0

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: 2e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.0957	1.0	4000	1.9006	8.6968	3.2473	7.9565	8.3224	19.0
2.0489	2.0	8000	1.8571	8.6877	3.2461	7.9311	8.2991	19.0
2.7345	3.0	12000	2.6112	9.585	3.0129	8.4729	9.1109	19.0
3.0585	4.0	16000	2.7222	9.7011	3.3549	8.6588	9.2646	19.0
2.9437	5.0	20000	2.6311	9.3771	3.7042	8.4912	9.0013	19.0

Framework versions

Transformers 4.16.2
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.11.6