t5_recommendation_treatment – AI Model by lakshmi31 | AlphaNeural AI

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lakshmi31/
t5_recommendation_treatment

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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t5_recommendation_treatment

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

Loss: 0.0570
Rouge1: 100.0
Rouge2: 50.0
Rougel: 100.0
Rougelsum: 100.0
Gen Len: 3.5

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	4.5513	0.0	0.0	0.0	0.0	14.5
No log	1.96	12	1.6414	50.0	50.0	50.0	50.0	5.0
No log	2.96	18	0.0393	100.0	50.0	100.0	100.0	3.5
No log	3.96	24	0.0521	100.0	50.0	100.0	100.0	3.5
No log	4.96	30	0.2461	50.0	50.0	50.0	50.0	5.0
No log	5.96	36	0.2271	50.0	50.0	50.0	50.0	5.0
No log	6.96	42	0.1591	50.0	50.0	50.0	50.0	5.0
No log	7.96	48	0.0131	100.0	50.0	100.0	100.0	3.5
No log	8.96	54	0.0208	100.0	50.0	100.0	100.0	3.5
No log	9.96	60	0.0570	100.0	50.0	100.0	100.0	3.5

Framework versions

Transformers 4.26.0
Pytorch 2.1.0+cu121
Datasets 2.8.0
Tokenizers 0.13.3