t5-small-nsbs2 – AI Model by adirasayidina | AlphaNeural AI

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t5-small-nsbs2

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t5-small-nsbs2

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

Loss: 5.9627
Rouge1: 13.1375
Rouge2: 2.2388
Rougel: 12.5358
Rougelsum: 12.5667
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: 0.02
train_batch_size: 8
eval_batch_size: 8
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	Gen Len
No log	1.0	100	5.7579	9.9822	0.5909	9.6984	9.7494	19.0
No log	2.0	200	5.9612	12.9227	2.1532	12.3116	12.3476	19.0
No log	3.0	300	5.8949	15.7023	2.4116	15.252	15.3069	13.94
No log	4.0	400	5.9386	12.9227	2.1532	12.3116	12.3476	19.0
4.8867	5.0	500	5.9627	13.1375	2.2388	12.5358	12.5667	19.0

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.0
Tokenizers 0.13.3