SummarEaseV1 – AI Model by notBanana | AlphaNeural AI

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notBanana/
SummarEaseV1

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text2text-generation

generated_from_trainer

google-t5/t5-base

text-generation-inference

endpoints_compatible

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SummarEaseV1

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

Loss: 2.4382
Rouge1: 0.2458
Rouge2: 0.1168
Rougel: 0.2008
Rougelsum: 0.2001
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
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	0.7619	3	2.5665	0.2388	0.1118	0.1962	0.1959	19.0
No log	1.7778	7	2.4863	0.2439	0.1153	0.2005	0.1996	19.0
No log	2.7937	11	2.4462	0.2461	0.1169	0.2009	0.2003	19.0
No log	3.0476	12	2.4382	0.2458	0.1168	0.2008	0.2001	19.0

Framework versions

Transformers 4.42.4
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1