t5-small-finetuned-xsum – AI Model by testytest | AlphaNeural AI

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testytest/
t5-small-finetuned-xsum

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5-small-finetuned-xsum

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

Loss: 0.0162
Rouge1: 98.555
Rouge2: 97.81
Rougel: 98.5536
Rougelsum: 98.557
Gen Len: 9.851

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0416	1.0	5986	0.0238	98.3612	97.6286	98.3553	98.3578	9.8923
0.0229	2.0	11972	0.0179	98.4752	97.7159	98.4754	98.4757	9.8488
0.0201	3.0	17958	0.0162	98.555	97.81	98.5536	98.557	9.851

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.2
Tokenizers 0.13.3