t5-small-novel-sum – AI Model by bemumg01 | AlphaNeural AI

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t5-small-novel-sum

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5-small-novel-sum

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

Loss: 4.3677
Rouge1: 0.0736
Rouge2: 0.002
Rougel: 0.0639
Rougelsum: 0.0638
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: 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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	42	4.6969	0.1135	0.0061	0.0933	0.0933	19.0
No log	2.0	84	4.4369	0.0736	0.002	0.0639	0.0638	19.0
No log	3.0	126	4.3811	0.0736	0.002	0.0639	0.0638	19.0
No log	4.0	168	4.3677	0.0736	0.002	0.0639	0.0638	19.0

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1