results – AI Model by IGragon | AlphaNeural AI

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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results

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

Loss: 1.5871
Rouge1: 0.6108
Rouge2: 0.3983
Rougel: 0.6004
Rougelsum: 0.6006

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: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
1.927	1.0	1000	1.7088	0.5878	0.3745	0.5777	0.5777
1.8262	2.0	2000	1.6397	0.5989	0.3873	0.5883	0.5883
1.7704	3.0	3000	1.6088	0.6069	0.3950	0.5965	0.5967
1.7388	4.0	4000	1.5920	0.6090	0.3965	0.5984	0.5987
1.7347	5.0	5000	1.5871	0.6108	0.3983	0.6004	0.6006

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1