t5-small – AI Model by ganse | AlphaNeural AI | AlphaNeural AI

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t5-small

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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t5-small

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.4021
Rouge1: 0.2105
Rouge2: 0.0893
Rougel: 0.1404
Rougelsum: 0.1404
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	3	3.5538	0.2105	0.0893	0.1754	0.1754	19.0
No log	2.0	6	3.4762	0.2105	0.0893	0.1404	0.1404	19.0
No log	3.0	9	3.4302	0.2105	0.0893	0.1404	0.1404	19.0
No log	4.0	12	3.4021	0.2105	0.0893	0.1404	0.1404	19.0

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0