results – AI Model by AyanSau | AlphaNeural AI

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text2text-generation

generated_from_trainer

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: 0.2057
Rouge2 Precision: 0.3564
Rouge2 Recall: 0.2124
Rouge2 Fmeasure: 0.256

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: 5e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
No log	1.0	240	0.3146	0.2121	0.1134	0.1424
No log	2.0	480	0.2444	0.2855	0.1519	0.19
0.6451	3.0	720	0.2195	0.3225	0.1821	0.223
0.6451	4.0	960	0.2078	0.355	0.2113	0.2548
0.2978	5.0	1200	0.2057	0.3564	0.2124	0.256

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.12.1+cpu
Datasets 2.4.0
Tokenizers 0.12.1