t5_recommendation_sports_equipment_english – AI Model by xitinghe | AlphaNeural AI

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t5_recommendation_sports_equipment_english

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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t5_recommendation_sports_equipment_english

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

Loss: 0.3633
Rouge1: 59.2063
Rouge2: 52.3810
Rougel: 59.0476
Rougelsum: 59.3651
Gen Len: 3.8571

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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	0.96	6	7.0808	15.2846	5.0505	15.1292	15.1867	18.6190
No log	1.96	12	3.2252	14.6825	0.0	14.4444	14.9206	4.7619
No log	2.96	18	0.8665	7.1429	0.0	7.1429	7.1429	3.8095
No log	3.96	24	0.6607	42.8571	33.3333	42.7778	43.1746	3.3333
No log	4.96	30	0.5453	43.6508	28.5714	42.8571	43.6508	3.7143
No log	5.96	36	0.5628	52.6984	42.8571	51.9048	52.5397	3.8571
No log	6.96	42	0.4353	46.0317	38.0952	45.2381	46.0317	3.8571
No log	7.96	48	0.3928	54.4444	47.6190	54.2857	54.7619	3.8095
No log	8.96	54	0.3641	61.9048	57.1429	62.6984	62.6984	3.9048
No log	9.96	60	0.3633	59.2063	52.3810	59.0476	59.3651	3.8571

Framework versions

Transformers 4.26.0
Pytorch 2.1.0+cu121
Datasets 2.8.0
Tokenizers 0.13.3