t5-small-finetuned-parth – AI Model by pkachhad | AlphaNeural AI

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t5-small-finetuned-parth

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t5-small-finetuned-parth

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.9468
Rouge1: 26.5826
Rouge2: 21.7867
Rougel: 25.1629
Rougelsum: 26.2364
Gen Len: 16.9

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	4	3.3692	25.2983	20.639	24.0087	25.0732	16.2
No log	2.0	8	3.1818	25.4926	20.9783	24.0651	25.2635	16.3
No log	3.0	12	3.0498	26.2652	21.5076	24.8077	25.9478	16.65
No log	4.0	16	2.9742	26.5826	21.7867	25.1629	26.2364	16.9
No log	5.0	20	2.9468	26.5826	21.7867	25.1629	26.2364	16.9

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2