medical_diagnostic_summarizer – AI Model by Sajesh | AlphaNeural AI

You can deploy this model and start earning money today!

Sajesh/
medical_diagnostic_summarizer

like

0

text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

Views

No views yet

medical_diagnostic_summarizer

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

Loss: 2.1099
Rouge1: 0.398
Rouge2: 0.2035
Rougel: 0.3373
Rougelsum: 0.3373
Gen Len: 17.8606

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: 16
eval_batch_size: 16
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
2.4288	1.0	2500	2.1944	0.3895	0.1972	0.3304	0.3303	17.8459
2.3376	2.0	5000	2.1381	0.3948	0.2012	0.3347	0.3347	17.8277
2.2978	3.0	7500	2.1155	0.3972	0.2027	0.3365	0.3366	17.8694
2.3072	4.0	10000	2.1099	0.398	0.2035	0.3373	0.3373	17.8606

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3