T5_on_pubmed – AI Model by thisishadis | AlphaNeural AI

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thisishadis/
T5_on_pubmed

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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T5_on_pubmed

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.1788
Rouge1: 0.1346
Rouge2: 0.0564
Rougel: 0.1145
Rougelsum: 0.1146
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: 5
eval_batch_size: 5
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	200	2.1954	0.1365	0.0565	0.1151	0.1151	19.0
No log	2.0	400	2.1878	0.1353	0.0561	0.1142	0.1144	19.0
2.4795	3.0	600	2.1798	0.1349	0.0564	0.1145	0.1146	19.0
2.4795	4.0	800	2.1788	0.1346	0.0564	0.1145	0.1146	19.0

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3