summary_model – AI Model by lucas-wa | AlphaNeural AI

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lucas-wa/
summary_model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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summary_model

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

Loss: 2.3990
Rouge1: 0.1934
Rouge2: 0.0912
Rougel: 0.1649
Rougelsum: 0.1651
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: 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
No log	1.0	62	2.4670	0.1637	0.0692	0.1387	0.1387	19.0
No log	2.0	124	2.4233	0.1902	0.0897	0.1629	0.163	19.0
No log	3.0	186	2.4056	0.1926	0.0904	0.1642	0.1643	19.0
No log	4.0	248	2.3990	0.1934	0.0912	0.1649	0.1651	19.0

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2