bart-base-finetuned-pubmed – AI Model by mse30 | AlphaNeural AI

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mse30/
bart-base-finetuned-pubmed

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text2text-generation

generated_from_trainer

scientific_papers

endpoints_compatible

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bart-base-finetuned-pubmed

This model is a fine-tuned version of facebook/bart-base on the scientific_papers dataset. It achieves the following results on the evaluation set:

Loss: 1.9804
Rouge1: 9.1984
Rouge2: 4.3091
Rougel: 7.9739
Rougelsum: 8.6759
Gen Len: 20.0

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: 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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.2869	1.0	29981	2.1241	9.0852	4.1152	7.842	8.5395	20.0
2.1469	2.0	59962	2.0225	9.1609	4.2437	7.9311	8.6273	20.0
2.113	3.0	89943	1.9959	9.3086	4.3305	8.0363	8.7713	20.0
2.0632	4.0	119924	1.9804	9.1984	4.3091	7.9739	8.6759	20.0

Framework versions

Transformers 4.11.3
Pytorch 1.9.1+cu102
Datasets 1.12.1
Tokenizers 0.10.3