FinetunedT5Model – AI Model by Praveen76 | AlphaNeural AI

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Praveen76/
FinetunedT5Model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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FinetunedT5Model

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

Loss: 1.6604
Rouge1: 0.2931
Rouge2: 0.1635
Rougel: 0.2526
Rougelsum: 0.253
Gen Len: 18.9262

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	38	2.0609	0.255	0.1343	0.2236	0.2245	18.7987
No log	2.0	76	1.9133	0.2719	0.1447	0.2388	0.2388	18.9463
No log	3.0	114	1.8280	0.2784	0.1548	0.2433	0.2437	18.9262
No log	4.0	152	1.7742	0.2847	0.159	0.2481	0.2485	18.9262
No log	5.0	190	1.7346	0.2866	0.1602	0.2488	0.2492	18.9262
No log	6.0	228	1.7067	0.2888	0.162	0.25	0.2506	18.9262
No log	7.0	266	1.6846	0.2861	0.1591	0.2482	0.2489	18.9262
No log	8.0	304	1.6712	0.2922	0.1625	0.2528	0.2531	18.9262
No log	9.0	342	1.6629	0.293	0.1635	0.2528	0.2532	18.9262
No log	10.0	380	1.6604	0.2931	0.1635	0.2526	0.253	18.9262

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0