t5_recommendation_sports_equipment_english – AI Model by fiorella513 | AlphaNeural AI

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fiorella513/
t5_recommendation_sports_equipment_english

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text2text-generation

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text-generation-inference

endpoints_compatible

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t5_recommendation_sports_equipment_english

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

Loss: 0.0846
Rouge1: 8.5433
Rouge2: 3.6562
Rougel: 8.4576
Rougelsum: 8.5177
Gen Len: 5.795

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: 0.0001
train_batch_size: 15
eval_batch_size: 15
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 60
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	0.99	53	0.1981	0.0	0.0	0.0	0.0	0.0
No log	1.99	106	0.1297	0.0	0.0	0.0	0.0	0.0
No log	2.99	159	0.0940	7.9888	1.5625	7.9690	7.9744	6.495
No log	3.99	212	0.0918	8.4655	1.9420	8.3894	8.4181	6.3525
No log	4.99	265	0.0896	8.6135	2.0312	8.4973	8.5159	6.1212
No log	5.99	318	0.0884	8.9882	2.5625	8.8042	8.8302	6.1513
No log	6.99	371	0.0871	8.9843	2.7812	8.9216	8.9330	6.1188
No log	7.99	424	0.0867	9.1104	3.4601	8.9543	8.9860	5.91
No log	8.99	477	0.0857	8.7896	3.6069	8.6949	8.7387	5.79
0.4188	9.99	530	0.0846	8.5433	3.6562	8.4576	8.5177	5.795

Framework versions

Transformers 4.26.0
Pytorch 1.13.1
Datasets 2.8.0
Tokenizers 0.13.3